Bayesian Thinking, Modeling and Computation

1. Bayesian Inference for Casual Effects (Donald B. Rubin)<br>2. Reference Analysis (Josè M. Bernardo)<br>3. Probability Matching Priors (Gauri Sankar Datta and Trevor J. Sweeting)<br>4. Model Selection and Hypothesis Testing Based on Objective Probabilities and Bayes Factors (Luis Raul Pericchi)<br>5. Role of P-values and other measures of evidence in Bayesian Analysis (Jayanta Ghosh, Sumitra Purkayastha and Tapas Samanta)<br>6. Bayesian Model Checking and Model Diagnostics (Hal S. Stern and Sandip Sinharay)<br>7. The Elimination of Nuisance Parameters (Brunero Liseo)<br>8. Bayesian Estimation of Multivariate Location Parameters (Ann Cohen Brandwein and William E. Strawdermann)<br>9. Bayesian Nonparametric Modeling and Data Analysis: An Introduction (Timothy E. Hanson, Adam J. Branscum and Wesley O. Johnson)<br>10. Some Bayesian Nonparametric Models (Paul Damien)<br>11. Bayesian Modeling in the Wavelet Domain (Fabrizio Ruggeri and Brani Vidakovic)<br>12. Bayesian Nonparametric Inference (Stephen Walker)<br>13. Bayesian Methods for Function Estimation (Nidhan Choudhuri, Subhashis Ghosal and Anindya Roy)<br>14. MCMC Methods to Estimate Bayesian Parametric Models (Antonietta Mira)<br>15. Bayesian Computation: From Posterior Densities to Bayes Factors, Marginal Likelihoods, and Posterior Model Probabilities (Ming-Hui Chen)<br>16. Bayesian Modelling and Inference on Mixtures of Distributions (Jean-Michel Marin, Kerrie Mengersen and Christian P. Robert)<br>17. Simulation Based Optimal Design (Peter Müller)<br>18. Variable Selection and Covariance Selection in Multivariate Regression Models (Edward Cripps, Chris Carter and Robert Kohn)<br>19. Dynamic Models (Helio S. Mignon, Dani Gamerman, Hedibert F. Lopes and Marco A.R. Ferreira)<br>20. Bayesian Thinking in Spatial Statistics (Lance A. Waller)<br>21. Robust Bayesian Analysis (Fabrizio Ruggeri, David Ríos Insua and Jacinto Martín)<br>22. Elliptical Measurement Error Models - A Bayesian Approach (Heleno Bolfarine and R.B. Arellano-Valle)<br>23. Bayesian Sensitivity Analysis in Skew-elliptical Models (Ignacio Vidal, Pilar Iglesias and Marcia Branco)<br>24. Bayesian Methods for DNA Microarray Data Analysis (Veerabhadran Baladandyuthapani, Shubhankar Ray and Bani Mallick)<br>25. Bayesian Biostatistics (David B. Dunson)<br>26. Innovative Bayesian Methods for Biostatistics and Epidemiology (Paul Gustafson, Shahadut Hossain and Lawrence McCandless)<br>27. Bayesian Analysis of Case-Control Studies (Bhramar Mukherjee, Samiran Sinha and Malay Ghosh)<br>28. Bayesian Analysis of ROC Data (Valen E. Johnson and Timothy D. Johnson)<br>29. Modeling and Analysis for Categorical Response Data (Siddhartha Chib)<br>30. Bayesian Methods and Simulation-Based Computation for Contingency Tables (James H. Albert)<br>31. Multiple Events Time Data: A Bayesian Recourse (Debajyoti Sinha and Sujit K. Ghosh)<br>32. Bayesian Survival Analysis for Discrete Data with Left-Truncation and Interval Censoring (Chong Z. He and Dongchu Sun)<br>33. Software Reliability (Lynn Kuo)<br>34. Bayesian Aspects of Small Area Estimation (Tapabrata Maiti)<br>35. Teaching Bayesian Thought to Nonstatisticians (Dalene K. Stangl)