INSTITUTE OF STATISTICS AND DECISION SCIENCES Working Paper Series for 2006 06-04 Rebecca M. Willett and Robert D. Nowak, "Minimax Optimal Level Set Estimation" Working Paper Series for 2005 05-15 Carlos Carvalho, Joe Lucas, Quanli Wang, Jeff Chang, Joe Nevins and Mike West "High-dimensional sparse factor models & latent factor regression" 05-14 Joe Lucas, Quanli Wang, Andrea Bild, Joe Nevins and Mike West "Sparse Bayesian analysis & data synthesis in gene expression experiments" 05-13 Dunson et al 05-12 Feng Liang, Rui Paulo, German Molina, Merlise A. Clyde and Jim O. Berger "Mixtures of g-priors for Bayesian Variable Selection" 05-11 Sayan Mukherjee and Ding-Xuan Zhou "Learning Coordinate Covariances via Gradients" 05-10 Chris Hans, Adrian Dobra and Mike West Shotgun stochastic search in regression with many predictors 05-09 Feng Liang, Sayan Mukherjee and Mike West Understanding the use of unlabelled data in predictive modelling 05-08 Abel Rodriguez, David Dunson, and Jack Taylor "Analysis of DNA repair studies through Bayesian hierarchical models for mixtures" 05-07 Mike West "Fitting high-dimensional, sparse regression and ANOVA models: Application to factorial gene expression experiments" 05-06 Jamie L. Bigelow and David B. Dunson "Bayesian adaptive regression splines for hierarchical data" 05-05 M.J. Bayarri, and G. Garcia-Donato "Extending Conventional priors for Testing General Hypotheses in Linear Models" 05-04 Yuhon Wu, Haakon Tjelmeland and Mike West "Bayesian CART: Prior specification and posterior simulation" 05-03 Carlos Carvalho, Helene Massam and Mike West "Simulation of hyper-inverse Wishart distributions in graphical models" 05-02 Marco Ferreira, David Higdon, Herbert K Lee and Mike West "Multi-Scale random field models" 05-01 Bo Cai and David B. Dunson "Bayesian covariance selection in generalized linear mixed models" Working Paper Series for 2004 04-33 D.B. Dunson "Bayesian density regression" 04-32 M.J. Bayarri, and M.E. Castellanos "Bayesian checking of hierarchical models" 04-31 Yuguo Chen and Jun S. Liu Permanents, Zero-One Tables, and Permutation Tests 04-30 Yuguo Chen Another Look at Rejection Sampling Through Importance Sampling 04-29 Yuguo Chen, Ian H. Dinwoodie, and Brenda MacGibbon Sampling for Conditional Inference on Case/Control Data 04-28 David B. Dunson and Amy H. Herring "Bayesian Latent Variable Models for Mixed Discrete Outcomes" 04-27 Michael Pennell and David B. Dunson Bayesian Semiparametric Dynamic Frailty Models for Multiple Event Time Data 04-26 Yuguo Chen Conditional Inference on Tables with Structural Zeros 04-25 Jeremy Rich, Beatrix Jones, Chris Hans, Roger McClendon, Ahmed Rasheed, Darell Bigner, Adrian Dobra, Holly Dressman, Joseph Nevins and Mike West "Gene Expression Profiling and Graphical Association in Glioblastoma Survival" 04-24 Adrian Dobra, Quanli Wang and Mike West "Graphical Model-based Gene Clustering and Metagene Expression Analysis" 04-23 Adrian Dobra and Mike West "Bayesian Covariance Selection" 04-22 Quanli Wang, Guang Yao, Joseph Nevins, Mike West and Adrian Dobra "GraphExplore: A Software Tool for Network Visualization" 04-21 Yuguo Chen Simple Existence Conditions for Zero-One Matrices with at Most One Structural Zero in Each Row and Column 04-20 Yuguo Chen, Ian Dinwoodie and Seth Sullivant Sequential Importance Sampling for Multiway Tables 04-19 Yuguo Chen and Tze Leung Lai "Fast Particle Filters and Their Applications to Recursive Identification and Adaptive Control of Nonlinear Stochastic Systems" 04-18 Enrique ter Horst and Robert L. Wolpert and Samuel W. Malone "Pricing & Hedging Options on Assets driven by Infinitely Divisible Vector Processes" 04-17 David B. Dunson and Jack A. Taylor "Approximate Bayesian inference for quantiles" 04-16 David B. Dunson and Amy H. Herring "Bayesian model selection and averaging in additive and proportional hazards models" 04-15 Beatrix Jones and Mike West "Covariance decomposition in undirected Gaussian graphical models" 04-14 Robert L. Wolpert "A Conversation with James O. Berger" 04-13 Chris Hans and David B. Dunson "Bayesian inferences on umbrella orderings" 04-12 Yuguo Chen, Ian Dinwoodie, Adrian Dobra and Mark Huber "Lattice points, contingency tables, and sampling" 04-11 David B. Dunson and Joseph B. Stanford "Bayesian inferences on predictors of day-specific conception probabilities" 04-10 David B. Dunson "Semiparametric Bayesian latent response models" 04-09 E.P. Hoffman, T. Awad, A. Spira, J. Palma, T. Webster, G. Wright, J. Buckley, R. Davis, E. Hubbell, W. Jones, R. Tibshirani, R. Tompkins, T. Triche, W. Xiao, Mike West and J.A. Warrington "Expression profiling: Best practices for data generation and interpretation in clinical trials 04-08 Robert L. Wolpert and Murad S. Taqqu "Fractional Ornstein-Uhlenbeck Lévy Processes and the Telecom Process: Upstairs and Downstairs" 04-07 M.J. Bayarri, and G. Garcia-Donato "A Bayesian, sequential look at u-control charts" 04-06 Penni Black, Erich Huang, Holly Dressman, Seiichi. Ishida, Mike West and Joseph Nevins "Distinct gene expression phenotypes of cells lacking Rb and Rb family members" 04-05 Joe Nevins, Erich Huang, Holly Dressman, Jennifer Pittman, Andrew Huang and Mike West "Towards Integrated Clinico-Genomic Models for Personalized Medicine: Combining Gene Expression Signatures and Clinical Factors in Breast Cancer Outcomes Prediction" 04-04 Erich Huang, Seiichi Ishida, Jennifer Pittman, Holly Dressman, Mike West and Joseph R Nevins "Gene Expression Phenotypic Models that Predict the Activity of Oncogenic Pathways" 04-03 Erich Huang, Mike West and Joseph Nevins "Gene expression profiles and predicting clinical characteristics of breast cancer" 04-02 P.G. Patil, M. West, H.V. Wheal and D.A. Turner "Physiological and Statistical Approaches to Modeling of Synaptic Responses" 04-01 Beatrix Jones, Carlos Carvalho, Adrian Dobra, Chris Hans, Chris Carter and Mike West "Experiments in Stochastic Computation for High-Dimensional Graphical Models" INSTITUTE OF STATISTICS AND DECISION SCIENCES Working Paper Series for 2003 03-28 R. Paulo "Default Priors for Gaussian Processes" 03-27 R. Paulo "Conditional Frequentist Fequential Fests for the Frift of Brownian Motion" 03-26 R. Hubbard, and M.J. Bayarri "P Values are not Error Probabilities" 03-25 David B. Dunson, Christopher H. Holloman, Catherine A. Calder, and Laura H. Gunn "Bayesian analysis of interval counts with surrogate data on the latency times" 03-24 Laura H. Gunn and David B. Dunson "Bayesian Inferences on Shape Constrained Hormone Trajectories in the Menstrual Cycle" 03-23 Sandra McBride, Merlise Clyde Hierarchical Bayesian calibration with reference priors: An application to airborne particulate matter monitoring data 03-22 Arnab Chakraborty, Yuguo Chen, Persi Diaconis, Susan P. Holmes, and Jun S. Liu "Sequential Monte Carlo Methods for Statistical Analysis of Tables" 03-21 Sudipto Banerjee, Dani Gamerman, and Alan E. Gelfand "Spatial Process Modelling for Univariate and Multivariate Dynamic Spatial Data" 03-20 Alen E. Gelfand, Alexandra M. Schmidt, and C. F. Sirmans "Multivariate Spatial Process Models: Conditional and Unconditional Bayesian Approaches Using Coregionalization " 03-19 Yuguo Chen and Tze Leung Lai "Sequential Monte Carlo Methods for Filtering and Smoothing in Hidden Markov Models" 03-18 Edward I. George, Feng Liang and Xinyi Xu "Improved Minimax Prediction Under Kullback-Leibler Loss" 03-17 Merlise CLyde and Ed George "Model Uncertainty" 03-16 David B. Dunson "Bayesian isotonic regression for discrete outcomes" 03-15 Brian Neelon and David B. Dunson "Bayesian isotonic regression and trend analysis" 03-14 Yuguo Chen and Jun S. Liu "Sequential Importance Sampling with Resampling in Molecular Population Genetics" 03-13 Jennifer Pittman, Erich Huang, Joseph Nevins and Mike West "Prediction Tree Models in Clinico-Genomics 03-12 Simon Godsill, Arnaud Doucet and Mike West "Monte Carlo Smoothing for Non-Linear Time Series" 03-11 Adrian Dobra, Chris Hans, Beatrix Jones, Joseph R Nevins and Mike West "Sparse Graphical Models for Exploring Gene Expression Data" 03-10 Jennifer Pittman, Erich Huang, Joseph R Nevins and Mike West "Bayesian Analysis of Binary Prediction Tree Models for Retrospectively Sampled Outcomes" 03-09 Mark Huber, Yuguo Chen, Ian Dinwoodie, Adrian Dobra and Mike Nicholas "Monte Carlo algorithms for Hardy-Weinberg Proportions" 03-08 Sean O'Brien and David B. Dunson "Bayesian multivariate logistic regression" 03-07 Jennifer Pittman, Erich Huang, Holly Dressman, Cheng-Fang Horng, Skye H Cheng, Mei-Hua Tsou, Chii-Ming Chen, Andrea Bild, Edwin S Iversen, Ming Liao, Andrew T Huang, Joseph R Nevins and Mike West "Integrated Modelling of Clinical and Gene Expression Information for Personalized Prediction of Disease Outcomes" 03-06 Kiona Ogle, Robert L. Wolpert and James F. Reynolds "Reconstructing Plant Root Area and Water Uptake Profiles" 03-05 Yuguo Chen and Dylan Small "Testing the Rasch Model via Sequential Importance Sampling" 03-04 Robert L. Wolpert and Katja Ickstadt "Reflecting Uncertainty in Inverse Problems: A Bayesian Solution using Lévy Processes" 03-03 A. Molina, G., Bayarri, M.J. and Berger, J.O. "Statistical Inverse Analysis for a Network Microsimulator" 03-02 A. Dobra, C. Tebaldi and M. West "Bayesian Inference in Incomplete Multi-way Tables" 03-01 E. Huang, S. Chen, H. Dressman, J. Pittman, M.H. Tsou, C.F. Horng, A. Bild, E.S. Iversen, M. Liao, C.M. Chen, M. West, J.R. Nevins and A.T. Huang. "Gene Expression Phenotypes of Breast Cancer Outcomes" INSTITUTE OF STATISTICS AND DECISION SCIENCES Working Paper Series for 2002 02-21 Xi (Kathy) Zhou, Edwin Iversen and Giovanni Parmigiani. "Classification of missense mutations of disease genes" 02-20 David B. Dunson and Amy H. Herring "Hypothesis Testing in the Cox Model for Order Restricted Alternatives" 02-19 Zhen Chen and David B. Dunson "A Bayesian Approach for Assessing Heterogeneity in Generalized Linear Models" 02-18 David B. Dunson and Bernardo Colombo "Bayesian Modeling of Markers of Day-Specific Fertility" 02-17 David B. Dunson, Zhen Chen and Jean Harry "Bayesian Joint Models of Cluster Size and Subunit-Specific Outcomes" 02-16 David B. Dunson and Brian Neelon "Bayesian Inference on Order Constrained Parameters in Generalized Linear Models" 02-15 Robert L. Wolpert, Kerrie Mengersen "Adjusted Likelihoods For Synthesizing Empirical Evidence from Studies That Differ in Quality and Design: Effects of Environmental Tobacco Smoke" 02-14 James Berger and Luis Pericchi "Training Samples in Objective Bayesian Model Model Selection" 02-13 Herbert K. H. Lee and Merlise A. Clyde "Lossless Online Bayesian Bagging" 02-12 Mike West "Bayesian Factor Regression Modelsin the ``Large p, Small n'' Paradigm 02-11 Robert L. Wolpert, Katja Ickstadt, Martin B. Hansen "A Nonparametric Bayesian Approach to Inverse Problems" 02-10 Dave Higdon, Herbie Lee, Chris Holloman "Markov chain Monte Carlo-based approaches for inference in computationally intensive inverse problems" 02-09 Herbert K. H. Lee, Christopher H. Holloman, Catherine A. Calder, and Dave M. Higdon "Flexible Gaussian Processes via Convolution" 02-08 Marco A. R. Ferreira, Zhuoxin Bi, Mike West, Herbert K. H. Lee and David Higdon "Multi-scale Modeling of 1-D Permeability Fields" 02-07 Marco A. R. Ferreira, Mike West, Herbert K. H. Lee and David Higdon "A Class of Multi-Scale Time Series Models" 02-06 Christopher H. Holloman, Herbert K. H. Lee, and Dave M. Higdon "Multi-resolution Genetic Algorithms and Markov Chain Monte Carlo" 02-05 02-04 David B. Dunson and Donna D. Baird "Bayesian modeling of incidence and progression of disease from cross-sectional data" 02-03 David B. Dunson, Mary Watson and Jack Taylor "Bayesian latent variable models for median regression on multiple outcomes" 02-02 Maria Maddalena Barbieri and James Berger "Optimal predictive model selection" 02-01 James Berger "Could Fisher, Jeffreys, and Neyman have agreed on testing? INSTITUTE OF STATISTICS AND DECISION SCIENCES Working Paper Series for 2001 01-13 Sandra J. McBride, "A Marked Point Process Model for the Source Proximity Effect in the Indoor Environment" 01-12 Catherine A. Calder, Christopher Holloman, David Higdon "Exploring Space-Time Structure in Ozone Concentration Using a Dynamic Process Convolution Model" 01-11 Catherine A. Calder, Michael Lavine, Peter Mueller, James S. Clark "Incorporating Multiple Sources of Stochasticity into Dynamic Population Models" 01-10 Steven N. MacEachern, Athanasios Kottas and Alan E. Gelfand "Spatial Nonparametric Bayesian Models" 01-09 Edwin Iversen, Jr. and Sining Chen "Population-Calibrated Gene Characterization: Cancer Penetrance Among BRCA1/2 Mutation Carriers" 01-08 Michael Lavine "A Marginal Ergodic Theorem" 01-07 Alan E. Gelfand and Athanasios Kottas "Bayesian Semiparametric Regression for Median Residual Life" 01-06 Valen Johnson, Rob Deaner and Carel van Schaik "Bayesian Analysis of Rank Data with Application to Primate Intelligence Experiments" 01-05 Merlise Clyde "Experimental Design: A Bayesian Perspective" 01-04 William Fong, Simon Godsill, Arnaud Doucet and Mike West "Monte Carlo Smoothing with Application to Digital Audio Enhancement" 01-02 Dave Higdon, Herbert Lee, and Zhuoxin Bi "A Bayesian Approach to Characterizing Uncertainty in Inverse Problems Using Coarse and Fine Scale Information" 01-01 Mike West, Carrie Blanchette, Holly Dressman, Erich Huang, Rainer Spang, Harry Zuzan, Jeffrey R. Marks, and Joseph R. Nevins "Utilization of Gene Expression Profiles to Predict the Clinical Status of Human Breast Cancer" INSTITUTE OF STATISTICS AND DECISION SCIENCES Working Paper Series for 2000 00-40 M.J. Bayarri and M.E. Castellanos "A comparison between p-values for goodness-of-fit checking" 00-39 C. Armero and M.J. Bayarri "Queues" 00-38 Jonathan Stroud, Peter Mueller and Nicholas Polson, "Nonlinear State-Space Models with State-Dependent Variances" 00-37 Valen Johnson, Robert Deaner and Carel van Schaik "Bayesian Analysis of Multi-Study Rank Data with Application to Primate Intelligence Ratings" 00-36 Athanasios Kottas, Marcia D. Branco and Alan E. Gelfand "A Nonparametric Bayesian Modeling Approach for Cytogenetic Dosimetry" 00-35 Herbert Lee, David Higdon, Zhuoxin Bi, Marco Ferreira, and Mike West "Markov Random Field Models for High-Dimensional Parameters in Simulations of Fluid Flow in Porous Media" 00-34 Merlise Clyde and Herbert Lee "Bagging and the Bayesian Bootstrap" 00-33 Athanasios Kottas and Alan E. Gelfand "Modeling Variability Order: A Semiparametric Bayesian Approach" 00-32 Herbert Lee "A Framework for Nonparametric Regression Using Neural Networks" 00-31 Rainer Spang, Harry Zuzan, Mike West, Joseph Nevins, Carrie Blanchette and Jeffrey R. Marks "Prediction and uncertainty in the analysis of gene expression profiles." 00-30 Martin B. Hansen, Katja Ickstadt and Robert L. Wolpert "Inverse Problems and a Lévy Process Solution" 00-29 Robert L. Wolpert and Katja Ickstadt "Inference for Over- and Under-dispersed Point Processes" 00-28 Robert L. Wolpert "Lévy Processes" 00-27 Robert L. Wolpert "The Gamma Function" 00-26 Raquel Prado, Gabriel Huerta and Mike West "Bayesian time-varying autoregressions: Theory, methods and applications" 00-25 Tobias Mueller, Rainer Spang and Martin Vingron "Concepts for the Estimation of Amino Acid Substitution Models" 00-24 Rainer Spang, Marc Rehmsmeier and Jens Stoye "Sequence Database Search Using Jumping Alignments" 00-23 Rainer Spang and Martin Vingron "The Loss of evolutionary information in expanding sequence databases" 00-22 Mike West, Joseph R Nevins, Jeffrey R Marks, Harry Zuzan & Rainer Spang "Analysis of breast tumour specific gene expression profiles in a Bayesian regression framework" 00-21 Jose Miguel Perez and James Berger "Analysis of Mixture Models Using Expected Posterior Priors, with Application to Classification of Gamma Ray Bursts" 00-20 Jaeyong Lee and James Berger "Space-time Modeling of Vertical Ozone Profiles" 00-19 Seiichi Ishida, Harry Zuzan, Rainer Spang, G. Leone, Mike West and Joseph R. Nevins "The relationship of cell cycle-regulated gene expression to E2F-mediated gene regulation in mammalian fibroblasts" 00-18 Herbert Lee "Model Selection for Neural Network Classification" 00-17 Giovanni Parmigiani, Heidi W. Ashih, Greg P. Samsa, Pam Duncan, Sue Min Lai, David B. Matchar "Conversion of stroke disability measures: a case study in Bayesian analysis of longitudinal ordinal categorical data using negative dependence" 00-16 George Casella, Michael Lavine and Christian Robert "Explaining the Perfect Sampler" 00-15 Mike West, Joseph R Nevins, Jeffrey R Marks, Rainer Spang & Harry Zuzan "Bayesian regression analysis in the ``Large p, Small n'' paradigm with application in DNA microarray studies" 00-14 Simon Godsill, Arnaud Doucet and Mike West "Maximum a posteriori sequence estimation using Monte Carlo particle filters" 00-13 Hedibert Lopes, Peter Mueller, Gary Rosner "Meta-Analysis for Longitudinal Data Models using Multivariate Mixture Priors" 00-12 James Berger, Victor De Oliveira and Bruno Sanso "Objective Bayesian Analysis of Spatially Correlated Data" 00-11 Susan Paddock . . . 00-10 James Berger, Jayanta K. Ghosh, and Nitai Mukhopadhyay "Approximations to the Bayes Factor in Model Selection Problems and Consistency Issues" 00-09 James Berger and Luis Pericchi "Objective Bayesian Methods for Model Selection: Introduction and Comparison" 00-08 Jose Miguel Perez and James Berger "Expected Posterior Prior Distributions for Model Selection" 00-05 Merlise Clyde, Peter Guttorp, and Erin Sullivan "Effects of Ambient Fine and Coarse Particles on Mortality in Phoenix, Arizona" 00-04 Herbert Lee "A Noninformative Prior for Neural Networks" 00-03 James F Burgess, Viridiana Lourdes and Mike West "Profiling mental health provider trends in health care delivery systems" 00-01 Simon Godsill, Arnaud Doucet and Mike West "Methodology for Monte Carlo smoothing with application to time-varying autoregressions" INSTITUTE OF STATISTICS AND DECISION SCIENCES Working Paper Series for 1999 99-38 M.J. Bayarri and J. Morales "Bayesian measures of surprise for outlier detection" 99-37 Yongdai Kim and Jaeyong Lee "Bayesian Bootstrap for Proportional Hazards Models" 99-36 M.J.Bayarri and A.M. Mayoral "Bayesian Design for Comparison of Effect Sizes" 99-35 Steven MacEachern and Peter Mueller, "Efficient MCMC Schemes for Robust Model Extensions using Encompassing Dirichelt Process Mixture Models" 99-34 Donald A. Berry, Peter Mueller, Andy P. Grieve, Michael Smith, Tom Parke, Richard_Blazek, Neil Mitchard, Chris Brearley, and Michael Krams "Bayesian Designs for Dose-Ranging Drug Trials" 99-33 Michael Lavine, Brian Beckage and James Clark "Modelling Seedling Mortality" 99-32 Sarat C. Dass and Jaeyong Lee "On the Consistency of Bayes Factors for Testing Point Null versus Nonparametric Alternatives" 99-31 Jonathan R. Stroud, Peter Mueller, and Gary L. Rosner "Simulation-Based Methods for Optimal Sampling Times in Population PK/PD Studies" 99-30 James Berger ``Bayesian Analysis: A Look at Today and Thoughts of Tomorrow'' 99-29 Peter Mueller, Don Berry, Andy Grieve, Michael Smith and Michael Krams "Simulation-Based Sequential Bayesian Design" 99-28 Merlise Clyde "Model Uncertainty and Health Effect Studies for Particulate Matter" 99-27 Jaeyong Lee "On Posterior Consistency in Selection Models" 99-26 Jaeyong Lee and James O. Berger "Semiparametric Bayesian Analysis of Selection Models" 99-25 Yongdai Kim and Jaeyong Lee "On Posterior Consistency of Survival Models" 99-24 Gabriel Katul, Brani Vidakovic, and John Albertson "Estimating Global and Local Scaling Exponents in Turbulent Flows using Wavelet Transformations" 99-23 Donald Malec and Peter Mueller "A Bayesian Semi-Parametric Model for Small Area Estimation" 99-22 Peter Mueller, Fernando Quintana and Gary Rosner, "Hierarchical Meta-Analysis over Related Non-parametric Bayesian Models" 99-21 Peter Mueller, Gary Rosner, Lurdes Inoue and Mark W. Dewhirst, "A Bayesian Model for Detecting Changes in Nonlinear Profiles" 99-20 Jonathan Stroud, Peter Mueller, and Bruno Sanso "Dynamic Models for Spatio-Temporal Data" 99-14 J. Liu and M. West "Combined parameter and state estimation in simulation-based filtering" 99-13 T. Sellke, M.J. Bayarri, and J. Berger "Calibration of P-values for testing precise null hypotheses" 99-12 M. West, V. Lourdes and J. Burgess "Statistical analyses of psychiatric patient return times in the V.A. hospital system." 99-09 Clelia Di Serio, Lawrence B.Marks, Giovanni Parmigiani "The Effect of Surgery for Esophageal Cancer: Evidence from Alternative Statistical Techniques". 99-08 Gabriel Huerta and Hedibert Freitas Lopes "Bayesian forecasting and inference in latent structure for the Brazilian GDP and Industrial Production Index" 99-07 D.A. Berry, A. Thor, C. Cirrincione, S. Edgerton, H. Muss, J. Marks, E. Liu, W. Wood, D. Budman, M. Perloff, W. Peters, and I.C. Henderson "Scientific Inference and Predictions; Multiplicities and Convincing Stories: A Case Study in Breast Cancer Therapy" 99-06 Merlise Clyde and Ed George "Empirical Bayes Estimation in Wavelet Nonparametric Regression" 99-05 Raquel Prado, Mike West and Andrew Krystal "Multi-channel EEG analyses via dynamic regression models with time-varying lag/lead structure" 99-04 James Berger and Alessandra Guglielmi "Bayesian Testing of a Parametric Model Versus Nonparametric Alternatives" 99-03 Giovanni Parmigiani and Steven Skates "Estimating the age of onset of detectable asymptomatic cancer" 99-02 Andrew Krystal, Mike West, Raquel Prado, Henry Greenside, Scott Zoldi, and Richard Weiner. "The EEG Effects Of ECT: Implications for rTMS" 99-01 Mueller, Peter and Vidakovic, Brani "MCMC Methods in Wavelet Shrinkage: Non-Equally Spaced Regression, Density and Spectral Density Estimation" INSTITUTE OF STATISTICS AND DECISION SCIENCES Working Paper Series for 1998 98-43 Sarat Dass and James Berger Unified Bayesian and Conditional Frequentist Testing of Composite Hypotheses 98-42 E. Conrad Lamon III and Merlise A. Clyde Accounting for Model Uncertainty in Prediction of Chlorophyll a in Lake Okeechobee 98-41 M. West, O. Aguilar and V. Lourdes V A Hospital Quality Monitors: 1988-1997 98-40 M.J. Bayarri and James Berger P-values for Composite Null Models 98-39 Giovanni Petris and Mike West Bayesian time series modelling and prediction with long-range dependence 98-38 Hedibert Lopes and Mike West "Bayesian model assessment in factor analysis" 98-37 Giovanni Parmigiani, Donald A. Berry, Eric P. Winer, Claudia Tebaldi, J. Dirk Iglehart, and Leonard R. Prosnitz "Is Axillary Lymph Node Dissection Indicated for Early Stage Breast Cancer---A Decision Analysis 98-36 Nicola G. Best, Katja Ickstadt, and Robert L. Wolpert "Spatial Poisson regression for health and exposure data measured at disparate resolutions" 98-34 Brani Vidakovic and Gabriel Katul "On Wavelet Transformations of Some Processes Useful in Modeling of Turbulence Measurements" 98-33 Jacob Laading, Colin McCulloch, Valen Johnson, David Gilland and Ronald Jaszczak "A Hierarchical Feature Based Deformation Model Applied to 4D Cardiac SPECT Data" 98-32 M.J. Bayarri and A.M. Mayoral "Graphical models for hierarchical computations in the analysis and design of replications" 98-31 Terence Tao and Brani Vidakovic "Almost Everywhere Convergence of General Wavelet Shrinkage Estimators" 98-30 Brani Vidakovic and Gabriel Katul "The Filtering of Ozone Concentration Measurements in a Turbulent Air Stream Using Bayesian Models in the Wavelet Domain" 98-29 Donald A. Berry "Benefits and Risks of Screening Mammography for Women in Their Forties: a Statistical Appraisal" 98-28 Y. Cheng, F. Su and D. Berry "Group Sequential Strategies in Two-Armed Bandit Problems: Implications for Clinical Sample Sizes" 98-27 Hedibert F. Lopes, Alexandra M. Schmidt and Ajax R.B. Moreira "Hyperparameter estimation in Forecast Models" 98-26 Valen Johnson Posterior distributions on normalizing constants" 98-25 Raquel Prado "Software for non-stationary time series analysis and decompositions via TVAR models" 98-24 Katja Ickstadt and Robert Wolpert and Xuedong Lu "Modeling travel demand in Portland, Oregon" 98-23 Robert Wolpert and Katja Ickstadt "Simulation of Levy Random Fields" 98-22 Katja Ickstadt and Robert Wolpert "Spatial Regression for Marked Point Processes" 98-21 Merlise Clyde and Edward I. George "Robust Empirical Bayes Estimation in Wavelets" 98-20 Merlise Clyde "Bayesian Model Averaging and Model Search Strategies" 98-19 Andrew Krystal, Raquel Prado and Mike West "ECT Treatment Comparisons via Non-stationary Time Series Modeling and Decompositions of EEG Traces" 98-18 Giovanni Parmigiani "Decision Models In Screening For Breast Cancer" 98-17 Dave Higdon, Jenise Swall, and John Kern "Non-Stationary Spatial Modeling" 98-16 M.J. Bayarri and James Berger "Quantifying Suprise in the Data and Model Verification" 98-13 David Higdon "Estimation of Genetic Effects in the Presence of Spatial Trends and Censoring" 98-12 Susan Paddock, Jeffery Abrams, Hyman Muss, Joseph Aisner and Donald A. Berry "Choosing Dose of Megestrol Acetate in Metastatic Breast Cancer: A Bayesian Approach to Clinical Problem Solving" 98-11 Marianna Pensky and Brani Vidakovic Adaptive Wavelet Estimator for Nonparametric Density Deconvolution 98-10 Peter Mueller "Simulation Based Optimal Design" 98-09 Francesca Dominici and Giovanni Parmigiani "Bayesian semi-parametric analysis of developmental toxicology data" 98-08 Gloria M. Petersen, Giovanni Parmigiani and Duncan Thomas "Missense Mutations in Disease Genes: A Bayesian Approach to Evaluate Causality" 98-07 Omar Aguilar, Gabriel Huerta, Raquel Prado & Mike West Bayesian inference on latent structure in time series 98-06 Pensky, Marianna and Vidakovic, Brani "On Non-Equally Spaced Wavelet Regression" 98-05 Iversen, Edwin Jr. "Spatially Disaggregated Real Estate Indices" 98-04 Lavine, Michael "Another Look at Conditionally Gaussian Markov Random Fields" 98-03 Omar Aguilar and Mike West "Bayesian dynamic factor models and variance matrix discounting for portfolio allocation" 98-02 Rios Insua, David and Mueller, Peter "Feedforward neural networks for nonparametric regression" 98-01 Claudia Tebaldi and Mike West "Bayesian inference and imputation in contingency tables with missing data" INSTITUTE OF STATISTICS AND DECISION SCIENCES Working Paper Series for 1997 97-46 Bayarri, M.J. and Berger, James "Measures of Surprise in Bayesian Analysis" 97-45 Berger, James and Pericchi, Luis. "Accurate and Stable Bayesian Model Selection: the Median Intrinsic Bayes Factor" 97-44 Berger, James and Mortera, Julia. "Default Bayes Factors for One-Sided Hyothesis Testing" 97-43 Berger, James and Pericchi, Luis. "On Criticisms and Comparisons of Default Bayes Factors for Model Selection and Hypothesis Testing" 97-42 Yang, Ruoyong and Berger, James. ``A Catalog of Noninformative Priors'' 97-41 Berger, James, Boukai, Ben, and Wang, Yinping. ``Simultaneous Bayesian-Frequentist Sequential Testing of Nested Hypotheses'' 97-40 Berger, James, Pericchi, Luis, and Varshavsky, Julia. ``Bayes Factors and Marginal Distributions In Invariant Situations'' 97-39 Fan, Tsai-Hung and Berger, James ``Robust Bayesian Displays for Standard Inferences Concerning A Normal Mean'' 97-38 Edwin Iversen Jr., Giovanni Parmigiani, Donald A. Berry and Joellen M. Schildkraut "Genetic Susceptibility and Survival: Application to Breast Cancer" 97-37 Mueller, Peter and Rosner, Gary, ``Semi-parametric PK/PD Models" 97-36 Parmigiani, Giovanni. ``Designing Observation Times for Interval Censored Data'' 97-35 McCulloch, C. Laading, J.K., and Johnson, V.E. "Image Feature Identification via Bayesian Hierarchical Models" 97-34 Parmigiani, Giovanni, Berry, Donald A. and Aguilar, Omar. "Determining Carrier Probabilities for Breast Cancer Susceptibility Genes BRCA1 and BRCA2: User's manual" 97-33 Palmer, J. Lynn and Mueller, Peter. ``Population Models for Hematologic Data'' 97-32 Mueller, Peter and Palmer, J. Lynn. ``Optimal Design in Longitudinal Data Models'' 97-31 Ruggeri, Fabrizio, Wiper, Michael and Rios Insua, David. ``Bayesian Model Selection for M/G/1 Queues'' 97-30 Ruggeri, Fabrizio and Sivaganesan, Siva. ``On a Global Sensitivity Measure for Bayesian Inference'' 97-29 Martin, Jacinto, Rios Insua, David and Ruggeri, Fabrizio. ``Issues in Bayesian Loss Robustness'' 97-28 C. Armero and M.J. Bayarri. "Dealing with Uncertainties in Queues and Networks of Queues: A Bayesian Approach" 97-27 M.J. Bayarri and A.M. Mayoral. "Designing "Successful" Replications" 97-26 Parmigiani, G., Berry, D. A., Iversen, E.S. Jr., M\"uller, P., Schildkraut, J. ``Modeling Risk of Breast Cancer and Decisions about Genetic Testing,'' 97-25 Bruno Sanso and Peter Muller. "Redesigning a Network of Rainfall Stations" 97-24 Edwin Iversen Jr., Giovanni Parmigiani, and Donald Berry. "Validating Bayesian Prediction Models: A Case Study in Genetic Susceptibility to Breast Cancer" 97-21 Berry, Don. "Using a Bayesian Approach in Medical Device Development" 97-20 Stangl, Dalene and Berry, Don. "Bayesian Statistics in Medicine: Where Are We and Where Should We Be Going?" 97-19 Stangl, Dalene and Gomez, Gabriel H.. "Using Bayesian Hierarchical Models to Assess the Impact of Managed-Care Strategies" 97-18 West 97-17 Carota, Cinzia, Parmigiani, Giovanni. "Semiparametric Regression for Count Data" 97-16 Higdon, Dave. "A Process-Convolution Approach to Modeling Temperatures in the North Atlantic Ocean" 97-15 Giovanni Petris, Mike West and Richard L Smith. "Bayesian Time Series Modelling and Prediction with Long-Range Dependence" 97-14 Mike West, Raquel Prado and Andrew Krystal. "Latent Structure in Non-stationary Time Series with Application in Studies of EEG Traces" 97-13 Gabriel Huerta and Mike West. "Bayesian Inference on Periodicities and Component Spectral Structure in Time Series" 97-12 Dennis A Turner, Y Chen, Howard Wheal and Mike West. "Modelling of Synaptic Responses: Physiological and Statistical Approaches". In Mathematical Modelling in the Neurosciences: From Ionic Channels to Neural Syncytia, (ed: R.R. Poznanski), to appear. *ONLY available in hard copy* -- send email to cheryl@stat.duke.edu 97-11 Lavine, Michael and Lozier, Susan. "A Markov Random Field Spatio-temporal Analysis of Ocean Temperature" 97-10 Ma, Yanyuan, Strang, Gilbert, and Vidakovic, Brani. "The First Moment of Wavelet Random Variables" 97-09 Katul, Gabriel, Schieldge, John, Kuhn, Greg, Hsieh, Cheng-I, and Vidakovic, Brani. "Skin Temperature Perturbations Induced by Surface Layer Turbulence" *ONLY available in hard copy* -- send email to cheryl@stat.duke.edu 97-08 Petris, Giovanni. "Bayesian Spectral Analysis of Long Memory Time Series" 97-07 Besag, Julian and Higdon, David. "Bayesian Inference for Agricultural Field Experiments" 97-06 Clyde, M. and DeSimone-Sasinowska, H. "Accounting for Model Uncertainty in Poisson Regression Models: Does Particulate Matter Really Matter?" 97-05 Insua Rios, David and Vidakovic, Brani. "Wavelet-Based Random Densities" 97-04 Vidakovic, Brani and Ruggeri, Fabrizio. "Expansion Estimation by Bayes Rules" 97-03 Huerta, Gabriel, and West, Mike. "Priors and Component Structures in Autoregressive Time Series Models" 97-02 Lavine, Michael and Schervish, Mark. "Bayes Factors: What They Are and What They Are Not" 97-01 Berger, James O., Liseo, Brunero, and Wolpert, Robert L. "Integrated Likelihood Methods for Eliminating Nuisance Parameters" INSTITUTE OF STATISTICS AND DECISION SCIENCES Working Paper Series for 1996 96-32 Wolpert, R. "Testing Simple Hypotheses" 96-30 Insua, D. Rios, Salewicz, K.A., Mueller, P., and Bielza, C. "Bayesian Methods in Reservoir Operations: The Zambezi River Case" 96-29 Mueller, P., Parmigiani, G., Schildkraut, J. and Tardella, L. "Retrospective Hierarchical Modelling of Multiple Case-control Studies" 96-28 Clyde, M. "Strategies for Model Mixing in Generalized Linear Models" 96-27 Rosner, G. and Mueller, P. "Bayesian Population Pharmacokintecs and Pharmacodynamic Analyses Using Mixture Models" 96-26 Mueller, P. and Rios Insua, D. "Posterior Simulation for Feed Forward Neural Network Models" 96-25 Berry, Donald A. "Teaching Elementary Bayesian Statistics with Real Applications in Science" 96-24 Bielza, Concha and Vidakovic, Brani. "Time Adaptive Wavelet Denoising" 96-23 Katul, Gabriel and Vidakovic, Brani. "Identification of Low-Dimensional Energy Containing/Flux Transporting Eddy Motion in the Atmospheric Surface Layer Using Wavelet Thresholding Methods" 96-22 Aguilar, Omar. "Wavelet and Autoregressive Decompositions for Evaluating Frequency Compositions in Time Series" 96-21 Higdon, David M., Johnson, Valen E., Bowsher, James E. Turkington, Timothy G., Gilland, David R., and Jaszczak, Ronald J. "Fully Bayesian Estimation of Gibbs Hyperparameters for Emission Computed Tomography Data" 96-20 Johnson, Valen E. "Alternatives to GPA-based Evaluation of Student Performance" 96-19 Ickstadt, Katja and Wolpert, Robert. "Multiresolution Assessment of Forest Inhomogeneity" 96-18 Carota, Cinzia and Parmigiani, Giovanni. "A Dirichlet Process Elaboration Diagnostic for Binomial Goodness of Fit" 96-17 Higdon, David. "Auxiliary Variable Methods for Markov Chain Monte Carlo with Applications" 96-16 Claudia, Tebaldi and West, Mike. "Bayesian Inference on Network Traffic Using Link Count Data" 96-15 Dominici, Francesca, Parmigiani, Giovanni, Reckhow, Kenneth H., and Wolpert, Robert L. "Combining Information from Related Regressions" 96-14 Dominici, Francesca, Parmigiani, Giovanni, Wolpert, Robert L., and Hasselblad, Vic. "Combining Incomplete Information on Headache Treatments" 96-13 West, Mike and Prado, Raquel. "Bayesian Analysis and Decomposition of Multiple Non-Stationary Time Series" 96-12 Parmigiani, Giovanni, Samsa, Greg P., Ancukiewicz, Marek, Lipscomb, Joseph, Hasselblad, Vic, Matchar, David B. "Assessing Uncertainty in Cost-Effectiveness Analyses: Application to a Complex Decision Model" 96-11 Gopalan, Ramanan and Berry, Donald A. "Bayesian Multiple Comparisons Using Dirichlet Process Priors" 96-10 Dominici, Francesca, Parmigiani, Giovanni, and Clyde, Merlise. "Conjugate Analysis of Multivariate Normal Data With Incomplete Observations" 96-09 MacEachern, Steven N., Clyde, Merlise, Liu, Jun S. "Sequential Importance Sampling for Nonparametric Bayes Models: The Next Generation" 96-08 Lavine, Michael. "The 'Bayesics' of Ranked Set Sampling" 96-07 Bielza, Concha, Mueller, Peter, and Insua, Rios, David. "Monte Carlo Methods for Decision Analysis with Applications to Influence Diagrams" 96-06 Parmigiani, Giovanni and Berry, Donald A. "Determining Prior Probabilities for Genetic Testing: TheCase of BRCA1" 96-05 Johnson, Valen. "A Coupling­Regeneration Scheme for Diagnosing Convergence in Markov Chain MonteCarlo Algorithms" 96-04 Lavine, Michael. "Conditionality is Alive and Well" 96-03 de Moor, Carl, Higdon, David, Hilsenbeck, S.G., Clark, G.M., von Hoff, D.D. "Incorporating Toxicity Grade Information in the Continual Reassessment Method Using Markov Chain Monte Carlo" 96-02 Aguilar, Omar and de Alba, Enrique. "Constrained Forecasts in Arma Models: A Bayesian Approach" 96-01 Ickstadt, Katja and Wolpert, Robert L. "Spatial Correlation Versus Spatial Variation: Gamma/Poisson Hierarchical Models in Comparison" INSTITUTE OF STATISTICS AND DECISION SCIENCES Working Paper Series for 1995 95-44 Nobile, Agostino, Bhat, Chandra R., and Pas, Eric I. "A Random Effects Multinomial Probit Model of Car Ownership Choice" 95-43 Wolpert, Robert L. and Ickstadt, Katja. "Gamma/Poisson Random Field Models for Spatial Statistics" 95-42 Sansó, Bruno and Guenni, Lelys. "A Bayesian Estimation of the Parameters of a Space-Time Model for Rainfall" 95-41 Abrams, Keith and Sansó, Bruno. "Model Discrimination in Meta- Analysis - A Bayesian Perspective" 95-40 Muliere P. and Tardella, Luca. "Approximating Distributions of Random Functionals of Ferguson-Dirichlet Priors" 95-39 Clyde, Merlise, Mueller, Peter, Parmigiani, Giovanni. "Exploring Expected Utility Surfaces by Markov Chains" 95-38 Perone Pacifico, M., Salinetti, G., and Tardella, L. "A Note on the Geometry of Bayesian Global and Local Robustness" 95-37 Clyde, Merlise, Parmigiani, Giovanni, and Vidakovic, Brani. "Multiple Shrinkage and Subset Selection in Wavelets" 95-36 Lipscomb, Joseph, Parmigiani, Giovanni and Hasselblad, Vic. "Combining Expert Judgement by Hierarchical Modelling: An Application to Physician Staffing" 95-35 Ruggeri, Fabrizio and Vidakovic, Brani. "A Bayesian Decision Theoretic Approach to Wavelet Thresholding" 95-34 Vidakovic, Brani and Mueller, Peter. "Affine Bayes Shrinkage In The Wavelet Domain with Applications" 95-33 Mueller, Peter and Vidakovic, Brani. "Bayesian Inference with Wavelets: Density Estimation" 95-32 Stangl, Dalene. "Bayesian Methods in the Analysis of Clinical Trials: A Discussion" 95-31 Mueller, Peter and Insua, David Rios. "Issues in Bayesian Analysis of Neural Network Models" 95-30 Arino, Miguel A. "Time Series Forcasts Via Wavelets: An Application to Car Sales in the Spanish Market" 95-29 Higdon, D.M., Johnson, V.E., Turkington, T.G., and Bowser, J.E., Gilland, D.R., and Jaszczak, R.J. "Fully Bayesian Estimation of Gibbs Hyperparameters for Emission Computed Tomography Data?" 95-28 Berry, Donald A., Chen, Robert W., Zame, Alan, Heath, David E., and Shepp, Larry A. "Bandit Problems with Infinitely Many Arms" 95-27 Vannucci, Marina and Vidakovic, Brani. "Preventing the Dirac Disaster: Wavelet Based Density Estimation" 95-26 Vannucci, Marina. "Nonparametric Density Estimation Using Wavelets" 95-25 Reutter, Alex and Johnson, Valen. "General Strategies for Assessing Convergence of MCMC Algorithms Using Coupled Sample Paths" 95-24 Nobile, Agostino. "A Hybrid Markov Chain for the Bayesian Analysis of the Multnomial Probit Model" 95-23 Clyde, Merlise and Chaloner, Kathryn. " 95-22 Cargnoni, Claudia, Muller, Peter, and West, Mike. "Bayesian Forecasting of Multinomial Time Series Through Conditionally Gaussian Dynamic Models" 95-21 Arino, Miguel and Vidakovic, Brani. "On Wavelet Scalograms and Their Applications in Economic Time Series" 95-20 West, Mike. "Bayesian Time Series: Models and Computations for the Analysis of Time Series in the Physical Sciences" 95-19 Bowsher, James E., Johnson, Valen E., Turkington, Timothy G., Jaszczak, Ronald J., Floyd, Jr., Carey E. and Coleman, R. Edward. "Bayesian Reconstruction and Use of Anatomical A Priori Information for Emission Tomography" 95-18 West, Mike. "Time Series Decomposition and Analysis in A Study of Oxygen Isotope Records" 95-17 Albert, James H. "Bayesian Computation Using Minitab" *** AVAILABLE IN POSTSCRIPT FORMAT ONLY!!! *** *** For hard copy send email to: albert@falcon.bgsu.edu 95-16 Albert, James H. "Teaching Inference Using Bayes and Discrete Models" 95-15 Albert, James H. "Bayesian Selection of Log-Linear Models" 95-14 Pinheiro, Aluisio and Vidakovic, Brani. "Estimating The Square Root of A Density Via Compactly Supported Wavelets" 95-13 Wolpert, Robert L. "Laplace Control Variates: A New Swindle" 95-12 West, Mike. "Modelling and Robustness Issues in Bayesian Time Series Analysis" 95-11 West, Mike. "Bayesian Forecasting" 95-10 Wolpert, Robert L. "Testing Simple Hypotheses" 95-09 Parmigiani, Giovanni, Ancukiewicz, Marek and Matchar, David. "Decision Models in Clinical Recommendations Development: The Stroke Prevention Policy Model" 95-08 Wolpert, Robert L. and Lavine, Michael. "Markov Random Field Priors for Univariate Density Estimation" 95-07 Clyde, Merlise and Parmigiani, Giovanni. "Orthogonalizations and Prior Distributions for Orthogonalized Model Mixing" 95-06 Palmer, Judy L. and Mueller, Peter. "Bayesian Optimal Design in Population Models of Hematologic Data" 95-05 Katul, Gabriel and Vidakovic, Brani. "The Partitioning of Attached and Detached Eddy Motion in the Atmospheric Surface Layer Using Lorentz Wavelet Filtering" 95-04 Goel, Prem and Vidakovic, Brani. "Wavelet Transformations as Diversity Enhancers" 95-03 Albert, Jim. "A MCMC Algorithm to Fit a General Exchangeable Model" 95-02 Albert, Jim and Siddhartha, Chib. "Bayesian Residual Analysis for Binary Response Regression Models" 95-01 Stangl, Dalene K. and Greenhouse, Joel B. "Assessing Placebo Response Using Bayesian Hierarchical Survival Models" INSTITUTE OF STATISTICS AND DECISION SCIENCES Working Paper Series for 1994 94-41 Erkanli, Alaattin, Soyer, Refik and Angold, Adrian. "Optimal Bayesian Two-Phase Designs for Screening Tests" *** postscript file not available *** 94-40 West, Mike. "Statistical Inference for Gravity Models in Transportation Flow Forecasting" 94-39 Erkanli, Alaattin, Mazzuchi, Thomas A. and Soyer, Refik. "Bayesian Computations for Reliability Growth Modeling" *** postscript file not available *** 94-38 MacEachern, Steven and Mueller, Peter. "Efficient Estimation of Mixture of Dirichlet Process Models" 94-37 Higdon, David M., Johnson, Valen E., Turkington, Timothy G. and Bowsher, James E. "Fully Bayesian Reconstruction of Positron Emission Tomography Data" 94-36 Damien, Paul and Mueller, Peter. "A Bayesian Bivariate Failure Time Regression Model" 94-35 Laud, P.W., Smith, A.F.M. and Damien, P. "Monte Carlo Methods for Approximating a Posterior Hazard Rate Process" *** postscript file not available *** 94-34 Damien, P., Laud, P.W. and Smith, A.F.M. "Bayesian Estimation of Unimodal Distributions" *** postscript file not available *** 94-33 Morali, Nilgun and Soyer, Refik. "Optimal Stopping Rules for Software Testing" *** postscript file not available *** 94-32 Clyde, Merlise, DeSimone, Heather and Parmigiani, Giovanni. "Prediction via Orthogonalized Model Mixing" 94-31 Clyde, Merlise A. and Chaloner, Kathryn. "The Equivalence of Constrained and Weighted Designs in Multiple Objective Design Problems" 94-30 Mueller, Peter, West, Mike and MacEachern, Steve. "Bayesian Models for Non-Linear Auto-Regressions" 94-29 West, Mike. "Elements of Spectral Analysis" *** postscript file not available *** 94-28 Mueller, Peter and Roeder, Kathryn. "A Bayesian Semiparametric Model for Case-Control Studies With Errors in Variables" 94-27 Damien, Paul, Laud, Prakash and Smith, Adrian. "Implementation of Bayesian Nonparametric Inference Based on Beta Processes" *** postscript file not available *** 94-26 Damien, P., Laud, P.W. and Smith, A.F.M. "Approximate Random Variate Generation From Infinitely Divisible Distributions With Applications to Bayesian Inference" *** postscript file not available *** 94-25 Vidakovic, Brani and Katul, Gabriel. "On Wavelet Thresholding Turbulence Signals" *** Not available yet. 94-24 Vidakovic, Brani. "Nonlinear Wavelet Shrinkage With Bayes Rules and Bayes Factors" 94-23 West, Mike. "Models and Computations for Neural Transmission Analysis" 94-22 Stangl, Dalene K. "Prediction and Decision Making Using Bayesian Hierarchical Models" 94-21 Carota, Cinzia and Parmigiani, Giovanni. "On Bayes Factors for Nonparametric Alternatives 94-20 Dasgupta, Anirban and Vidakovic, Brani. "Sample Size Problems in Anova: Bayesian Point of View" 94-19 Burch, Kathryn, Clyde, Merlise, and Vidakovic, Brani. "A Bayesian Design for Ecoregional Assessment of Minnesota's Lakes" 94-18 Parmigiani, Giovanni and Mueller, Peter. "Simulation Approach to One-Stage and Sequential Optimal Design Problems" 94-17 Mueller, Peter and Rosner, Gary. "A Semiparametric Bayesian Population Model With Hierarchical Mixture Priors" 94-16 Vidakovic, Brani. "Estimation of a Bounded Normal Mean: Modified Linear and Polynomial Estimators" 94-15 Dasgupta, A., Rinott Y. and Vidakovic, B. "Stopping Times Related to Diagnostics and Outliers" 94-14 Clyde, Merlise A. and Parmigiani, Giovanni. "Protein Construct Storage: Bayesian Variable Selection and Prediction With Mixtures" 94-13 Vidakovic, Brani and Mueller, Peter. "Wavelets for Kids - A Tutorial Introduction" 94-12 Wilson, Alyson G. and Johnson, Valen E. "Priors on Scale-Space Templates" 94-11 MacEachern, Steven N. and Mueller, Peter. "Estimating Mixture of Dirichlet Process Models" 94-10 Rosner, Gary L. and Mueller, Peter. "Pharmacodynamic Analysis of Hematologic Profiles" 94-09 West, Mike. "Some Statistical Issues in Palaeoclimatology" 94-08 Johnson, Valen E. "A Note on Stopping Rules in EM-ML Reconstructions of ECT Images" 94-07 Johnson, Valen E. "Studying Convergence of Markov Chain Monte Carlo Algorithms Using Coupled Sample Paths" 94-06 Vidakovic, Brani. "A Note on Random Densities via Wavelets" 94-05 Pole, Andy, Harrison, Jeff and West, Mike. "Forecasting and Assessing Structural Change: The Case of Promotional Campaigns" 94-04 Rosner, Gary L. and Mueller, Peter. "Modeling Multiple Pharmacodynamic End Points" 94-03 Johnson, Valen E. "On Bayesian Analysis of Multi-Rater Ordinal Data: An Application to Automated Essay Grading" 94-02 Wilson, Alyson G. "Cognitive Factors Affecting Subjective Probability Assessment" 94-01 Burdick, Donald S. "An Introduction to Tensor Products with Applications to Multiway Data Analysis" INSTITUTE OF STATISTICS AND DECISION SCIENCES Working Paper Series for 1993 93-A33 Fortini, Sandra and Ruggeri, Fabrizio. "Concentration Function and Sensitivity to the Prior" 93-A32 Ruggeri, Fabrizio. "Bayesian Comparison of Italian Earthquakes" 93-A31 Carota, Cinzia and Ruggeri, Fabrizio. "Robust Bayesian Analysis Given Priors on Partition Sets" 93-A30 MacEachern, Steven N. and Berliner, L. Mark. "Subsampling the Gibbs Sampler" 93-A29 Altenberg, Lee. "The Evolution of Evolvability in Genetic Programming" 93-A28 Mueller, Peter and Pole, Andy. "Monte Carlo Posterior Integration in GARCH Models" 93-A27 Clyde, Merlise, Mueller, Peter and Parmigiani, Giovanni. "Optimal Design for Heart Defibrillators" 93-A26 Johnson, Valen, Bowsher, James, Turkington, Timothy and Jaszczak, Ronald. "Analysis and Reconstruction of Medical Images Using Prior Information" 93-A25 Li, Chengchang, Mueller, Peter and Parmigiani, Giovanni. "Optimal Sample Size for Two Binomials" 93-A24 Mukhopadhyay, Saurabh and Vidakovic, Brani. "Efficiency of Linear Bayes Rules for a Normal Mean-Skewed Priors Class" 93-A23 West, Mike. "Inference on Cycles in Time Series" 93-A22 MacEachern, Steven and Bush, Christopher A. "A Semi-Parametric Bayesian Model for Randomized Block Designs" 93-A21 Mukhopadhyay, Saurabh and Ghosh, Malay. "On the Uniform Approximation of Laplace's Prior by t-Priors in Location Problems" 93-A20 Carota, Cinzia, Parmigiani, Giovanni, and Polson, Nick. "Diagnostic Measures for Model Criticism" 93-A19 Parmigiani, Giovanni and Li, Chengchang. *** This paper has been deleted from the series. *** 93-A18 Parmigiani, Giovanni. "Timing Medical Examinations Via Intensity Functions" 93-A17 Johnson, Valen J. "On the Analysis on Multi-Rater Ordinal Data" 93-A16 Wolpert, Robert L. and Li, Chengchang. "Meta-Analytic Combining of Related Regressions" 93-A15 Parmigiani, Giovanni. "Truncated Recursive Algorithms for Scheduling" 93-A14 Insua, David Rios and Salewicz, Kazimierz A. "The Operation of Lake Kariba: A Bayesian Analysis" 93-A13 Stangl, Dalene and Mukhopadhyay, Saurabh. "Balancing Centers and Observations in Multicenter Clinical Trials" 93-A12 Lavine, Michael. "Approximate Bayesian Inference for Quantiles" 93-A10 Vidakovic, Brani and Insua, David Rios. "Some Efficient Simple Rules in Gamma-minimax Estimation" 93-A09 Vidakovic, Brani. "All Roads Lead to Rome - Even in the Honeycomb World" 93-A08 Insua, David Rios, Ruggeri, Fabrizio, and Vidakovic, Brani. "Some Results on Posterior Regret Gamma-minimax estimation" 93-A07 Parmigiani, Giovanni and Berry, Donald A. "Applications of Lindley Information Measure to the Design of Clinical Experiments" 93-A06 Lavine, Michael and Parmigiani, Giovanni. "Using Probability to Learn from Data" 93-A05 Mueller, Peter and Parmigiani, Giovanni. "Numerical Evaluation of Information Theoretic Measures" 93-A04 Mitchell, Ben and Burdick, Donald. "Slowly Converging Parafac Sequences: Swamps and Two-Factor Degeneracies" 93-A03 Mukhopadhyay, Saurabh and DasGupta, Anirban. "Uniform Approximation of Bayes Solutions and Posteriors: Frequentistly Valid Bayes Inference" 93-A02 West, Mike, Mueller, Peter, and Escobar, M.D. "Hierarchical Priors and Mixture Models, with Application in Regression and Density Estimation" 93-A01 Erkanli, Alaattin, Stangl, Dalene and Mueller, Peter. "Analysis of Ordinal Data By The Mixture of Probit Links" INSTITUTE OF STATISTICS AND DECISION SCIENCES Working Paper Series for 1992 92-A38 Parmigiani, Giovanni. "Optimal Scheduling of Fallible Inspections" 92-A37 Qian, Jiang, Johnson, Valen, Bowsher, James, and Jaszczak, Ronald. "Deterministic Approach to the Posterior Distribution in a Bayesian Imaging Model" 92-A36 Mitchell, Ben C. and Burdick, Donald S. "An Empirical Comparison of Resolution Methods for Three-Way Arrays" 92-A35 Johnson, Valen. "A Framework for Incorporating Structural Prior Information into the Reconstruction and Restoration of Medical Images" 92-A34 Parmigiani, Giovanni. "Design of Partially Observable Survival Data" 92-A33 Mueller, Peter and Parmigiani, Giovanni. "Optimal Design via Curve Fitting of Monte Carlo Experiments" 92-A32 Vidakovic, Brani. "â-Minimax Estimation with Ordered Observations" 92-A31 Vidakovic, Brani and DasGupta, Anirban. "Linear Versus Nonlinear Rules for Mixture Normal Priors" 92-A30 DasGupta, Anirban and Mukhopadhyay, Saurabh. "Uniform and Subuniform Posterior Robustness: The Sample Size Problem" 92-A29 Vidakovic, Brani. "On the Algorithmic Complexity, Universal Prior and Ockham's Razor" 92-A28 Parmigiani, Giovanni. "Inspection Times for Stand-by Units" 92-A27 Erkanli, Al and Gopalan, Ram. "Bayesian Nonparametric Regression: Smoothing Using Gibbs Sampling" 92-A26 Johnson, Valen. "A Model for Segmentation and Analysis of Noisy Images" 92-A25 Vidakovic, Brani. "On the Efficiency of Affine Rules in Estimating Bounded Multivariate Normal Mean" 92-A24 Mukhopadhyay, Saurabh and Haines, Linda. "Bayesian D-Optimal Design for Exponential Growth Model" 92-A23 Muliere, Pietro, Parmigiani, Giovanni and Polson, Nicholas G. "A Note on the Residual Entropy Function" 92-A22 Vidakovic, Brani and DasGupta Anirban. "Lower Bounds of Bayes Risk for Estimating a Normal Variance: With Applications" 92-A21 West, Mike. "Bayesian Analysis Under a Successive Sampling Discovery Model" 92-A20 West, Mike and Escobar, Michael D. "Computing Bayesian Nonparametric Hierarchical Models" 92-A19 West, Mike and Turner, Dennis A. "Deconvolution of Mixtures in Analysis of Neural Synaptic Transmission" 92-A18 Johnson, Valen, Bowsher, James, Qian, Jiang, Jaszczak, Ronald, and Floyd, Carey. "Analysis and Reconstruction of Medical Images Using Prior Information" 92-A17 Lavine, Michael and Mockus, A. "A Nonparametric Bayes Method For Isotonic Regression" 92-A16 Johnson, Valen, Bowsher, James, Qian, Jiang, and Jaszczak, Ronald. "Segmentation and Analysis of Emission Computed Tomography Images" 92-A15 Erkanli, Alaattin. "Laplace Approximations for Posterior Expectations When the Mode Occurs at the Boundary of the Parameter Space" 92-A14 Mueller, Peter. "Alternatives to the Gibbs Sampling Scheme" 92-A13 Mueller, Peter. "Posterior Integration in Dynamic Models" 92-A12 Erkanli, Alaattin, Kass, Robert E., and Genz, Alan. "Adapting Subregion-Adaptive Integration Software to Problems in Bayesian Inference" 92-A11 Parmigiani, Giovanni. "Scheduling Inspections in Reliability" 92-A10 Johnson, Valen E. This paper has been deleted from the series 92-A09 Mueller, Peter, Erkanli, Alaattin and West, Mike. "Bayesian Curve Fitting Using Multivariate Normal Mixtures" (was: Erkanli, Alaattin, Mueller, Peter, and West, Mike. "Curve Fitting by a Mixture of Dirichlet Process Model") 92-A08 Lavine, Michael and Wasserman, Larry. "Can We Estimate N?" 92-A07 Lavine, Michael. "A Note On Bounding Monte Carlo Variances" 92-A06 West, Mike. "Discovery Sampling and Selection Models" 92-A05 Erkanli, Al. "Reconstruction of Marginal Posterior Densities" 92-A04 Erkanli, Al. "Approximate Marginal Densities of Coordinate Functions When the Maxima Occurs at the Boundary" 92-A03 West, Mike. "Hyperparameter Estimation in Dirichlet Process Mixture Models" 92-A02 West, Mike and Cao, Guoliang. "Computing Distributions of Order Statistics" 92-A01 Turner, Dennis A. and West, Mike. "Bayesian Analysis of Mixtures Applied to Postsynaptic Potential Fluctuations" INSTITUTE OF STATISTICS AND DECISION SCIENCES Working Paper Series for 1991 91-A25 Parmigiani, Giovanni. "Inspections for Log-Convex Failure Distributions" 91-A24 Parmigiani, Giovanni, and Muliere, Pietro. "Utility and Means in the Thirties" 91-A23 Parmigiani, Giovanni, and Muliere, Pietro. "On Quasi-Means" 91-A22 Burdick, Donald S., Tu, Xin M. and Albright, Robert E. "Regression Analysis of Data With Repeated Measurements Using the Method of Successive Differences" 91-A21 Burdick, Donald S. and Tu, Xin M. "Starting Values for Resolution of Trilinear Mixtures: Application in Spectroscopy" 91-A20 Parmigiani, Giovanni, and Banks, David L. "Preanalysis of Superlarge Industrial Datasets" 91-A19 Erkanli, Alaattin. "Asymptotic Expansions for Posterior Expectations Under Non-Standard Conditions" 91-A18 West, Mike and Cao, Guoliang. "Assessing Mechanisms of Neural Synaptic Activity" 91-A17 Parmigiani, Giovanni and Mark S. Kamlet. "A Cost-Utility Analysis of Alternative Strategies in Screening for Breast Cancer" 91-A16 Parmigiani, Giovanni. "Optimal Scheduling of Medical Exams: The Case of Breast Cancer" 91-A15 Johnson, Valen. "A Model for Segmentation and Analysis of Noisy Images" 91-A14 Wolpert, Robert. "Adjusted and Synthetic Likelihoods for Combining Empirical Evidence" 91-A13 Wolpert, Robert, Reckhow, Kenneth H., and Steinberg, Laura J. "Bayesian Decision Support Using Environmental Transport-and-Fate Models" 91-A12 West, Mike. "On Bayesian Statistics in Astronomical Investigation" 91-A11 Lavine, Michael. "More Aspects of Polya Tree Distributions for Statistical Modelling" 91-A10 Pole, Andy, West, Mike, and Jeff Harrison. "Forecasting and Assessing Structural Change: Campaign Effects" 91-A09 West, Mike. "Modelling Time-Varying Hazards and Covariate Effects" 91-A08 Lavine, Michael, Wasserman, Larry, and Wolpert, Robert "Linearization of Bayesian Robustness Problems" 91-A07 Johnson, Valen E. "Estimating Marginal Posterior Densities in Generalized Linear Models using Quantile Integration" 91-A06 Wolpert, Robert L. and Warren-Hicks, William J. "Bayesian Hierarchical Logistic Models for Combining Field and Laboratory Survival Data" 91-A05 West, Mike. "Modelling with Mixtures" 91-A04 Johnson, Valen E. "A Technique for Estimating Marginal Posterior Densities in Hierarchical Models Using Mixtures of Conditional Densities" (Revision of DP# 89-07) 91-A03 Lavine, Michael, and West, Mike. "Bayesian Calculations for Normal Mixtures" 91-A02 Johnson, Valen E. and Bowsher, James E. "A Simultaneous Segmentation and Reconstruction Model for ECT Images" 91-A01 Lavine, Michael. "Some Aspects of Pola Tree Distributions for Statistical Modelling" INSTITUTE OF STATISTICS AND DECISION SCIENCES Working Paper Series for 1990 SERIES B 90-B02 Gamerman, Dani, West, Mike, and Pole, Andy. "A Guide to SURVIVAL" 90-B01 Hendry, David F., Leamer, Edward E., and Poirier, Dale J. "A Conversation of Econometric Methodology" SERIES A 90-A18 Johnson, Valen E., Chen, Chin-Tu, Hu, Xiaoping, and Wong, Wing H. "Aspects of Image Restoration Using Gibbs Priors: Boundary Modelling, Treatment of Blurring, and Selection of Hyperparameters" 90-A17 Johnson, Valen E., Chen, Chin-Tu, Hu, Xiaoping, and Wong, Wing H. "Image Reconstruction Using A Priori Boundary Information" 90-A16 Escobar, Michael D. and West, Mike. "Bayesian Prediction and Density Estimation" 90-A15 Hendry, David F., and Richard, Jean-Francois. "Likelihood Evaluation for Dynamic Latent Variables Models" 90-A14 Johnson, Valen E. "Bayesian Estimation in the Linear Model: The Care of Unknown Dispersion Parameters" 90-A13 Johnson, Valen E. "Convergence Properties of Quantile Integration for Vector-Valued Parameters" 90-A12 West, Mike. "Mixture Models, Monte Carlo, Bayesian Updating and Dynamic Models" 90-A11 West, Mike, and Winkler, Robert L. "Error Trapping in Binary Databases" 90-A10 West, Mike. "Approximating Posterior Distributions by Mixtures " 90-A09 Harrison, Jeff, and West, Mike. "Dynamic Linear Model Diagnostics" 90-A08 Crosse, J., and West, M. "The Use of Agent Judgements in Reliability Analysis" 90-A07 Marshall, Robert C., Meurer, Michael J., and Richard, Jean-Francois. "Delegated Procurement and the Protest Process" 90-A06 Wolpert, Robert L. "Monte Carlo Integration in Bayesian Statistical Analysis" 90-A05 Lavine, Michael. "Some Remarks on Extrapolation" 90-A04 Marshall, Robert C., Meurer, Michael J., and Richard, Jean-Francois. "The Impact of Reserve Prices on the Technology of Procured Items" 90-A03 Lavine, Michael, Wasserman, Larry, and Wolpert, R.L. "Bayesian Inference with Specified Prior Marginals" 90-A02 West, Mike. "Bayesian Kernel Density Estimation" 90-A01 Steel, Mark F.J., and Richard, Jean-Francois. "Bayesian Multivariate Exogeneity Analysis: An Application to a UK Money Demand Equation" INSTITUTE OF STATISTICS AND DECISION SCIENCES Working Paper Series for 1989 89-A15 Lavine, Michael. "A Case Study in Bayesian Sensitivity: Fish Response to Lake Acidification" 89-A14 Lavine, Michael. "The Boon of Dimensionality: How To Be A Sensitive Multidimensional Bayesian" 89-A13 West, M., and Crosse, J. "Modelling Agent Judgements for Bayesian Updating" 89-A12 West, Mike. "Modelling Agent Forecast Distributions" 89-A11 West, Mike. "Bayesian Analysis of Agent Opinion" 89-A10 West, Mike. "Kernel Density Estimation and Marginalisation (IN-) Consistency" 89-A09 Marshall, Robert C., Richard, Jean-Fancois, and Zarkin, Gary A. "Posterior Probabilities of the Independence Axiom With Non-Experimental Data" 89-A08 Marshall, Robert C., and Richard, Jean-Francois. "Reserve Pricing At Single-Object Auctions" 89-A07 Johnson, Valen E. "Integration of Hierarchical Models" 89-A06 Geweke, John. "Inference and Forecasting for Chaotic Nonlinear Time Series" 89-A05 Florens, J.P. "Models and Inference for Duration Data: A Survey" 89-A04 Lavine, Michael. "Local Predictive Influence in Bayesian Regression" 89-A03 Florens, Jean-Pierre, and Richard, Jean-Francois. "Encompassing in Finite Parametric Spaces" 89-A02 Florens, Jean-Pierre, Hendry, David F., and Richard, Jean-Francois. "Encompassing and Specificity" 89-A01 Boender, C. Guus E., and van Dijk, Herman K. "Bayesian Estimation of the Weights of Multi-Criteria Decision Alternatives Using Monte Carlo Integrations" INSTITUTE OF STATISTICS AND DECISION SCIENCES Working Paper Series for 1988 88-A06 Lavine, Michael. "Prior Influence in Bayesian Statistics" 88-A05 Hendry, David F., and Richard, Jean-Francois. "Recent Developments in the Theory of Encompassing" 88-A04 Geweke, John. "Acceleration Methods for Monte Carlo Integration in Bayesian Inference" 88-A03 Barnett, William A., and Serletis, Apostolos. "A Dispersion-Dependency Diagnostic Test for Aggregation Error: With Applications to Monetary Economics and Income Distribution" 88-A02 Geweke, John. "Modelling Nonlinearity with Normal Polynomial Expansions" 88-A01 Barnett, William A., and Yue, Piyu. "Semiparametric Estimation of the Asymptotically Ideal Model: The AIM Demand System" INSTITUTE OF STATISTICS AND DECISION SCIENCE Working Paper Series for 1987 87-A09 Florens, Jean-Pierre, Hendry, David F., and Richard, Jean-Francois. "Parsimonious Encompassing: An Application to Non-Nested Hypotheses and Hausman Specification Tests" 87-A08 Kadane, Joseph B., and Winkler, Robert L. "Separating Probability Elicitation from Utilities" 87-A07 Geweke, John. "Antithetic Acceleration of Monte Carlo Integration in Bayesian Inference" 87-A06 Richard, Jean-Francois, and Steel, Mark F.J. "Bayesian Analysis of Systems of Seemingly Unrelated Regression Equations Under a Recursive Extended Natural Conjugate Prior Density" 87-A05 Sowell, Fallaw. "Fractional Unit Root Distributions" 87-A04 Graham, Daniel A., Marshall, Robert C., and Richard, Jean-Francois. "Differential Payments Within a Bidder Coalition and the Shapley Value" 87-A03 Lindley, Dennis V. "Statistical Inference Concerning Hardy-Weinberg Equilibrium" 87-A02 Geweke, John. "Bayesian Inference in Econometric Models Using Monte Carlo Integration" 87-A01 Graham, Daniel A., Marshall, Robert C., and Richard, Jean-Francois. "Auctioneer's Behavior at a Single Object English Auction with Heterogeneous Non-Cooperative Bidders"