Description This volume describes how to develop Bayesian thinking, modelling and computation both from philosophical, methodological and application
point of view. It further describes parametric and nonparametric Bayesian methods for modelling and how to use modern computational methods
to summarize inferences using simulation. The book covers wide range of topics including objective and subjective Bayesian inferences
with a variety of applications in modelling categorical, survival, spatial, spatiotemporal, Epidemiological, software reliability, small
area and micro array data. The book concludes with a chapter on how to teach Bayesian thoughts to nonstatisticians.
Key Features:
- Critical thinking on causal effects
- Objective Bayesian philosophy
- Nonparametric Bayesian methodology
- Simulation
based computing techniques
- Bioinformatics and Biostatistics
Audience
Graduate students in Statistics, faculty and researchers interested in Bayesian philosophy and methodology, Scientists and Libraries.
Contents Preface
Contributors
1. Bayesian Inference for Casual Effects (Donald B. Rubin)
2. Reference Analysis (Jose M. Bernardo)
3. Probability
Matching Priors (Gauri Sankar Datta and Trevor J. Sweeting)
4. Model Selection and Hypothesis Testing Based on Objective Probabilities
and Bayes Factors (Luis Raul Pericchi)
5. Role of P-values and other measures of evidence in Bayesian Analysis (Jayanta Ghosh, Sumitra
Purkayastha and Tapas Samanta)
6. Bayesian Model Checking and Model Diagnostics (Hal S. Stern and Sandip Sinharay)
7. The Elimination
of Nuisance Parameters (Brunero Liseo)
8. Bayesian Estimation of Multivariate Location Parameters (Ann Cohen Brandwein and William E.
Strawdermann)
9. Bayesian Nonparametric Modeling and Data Analysis: An Introduction (Timothy E. Hanson, Adam J. Branscum and Wesley
O. Johnson)
10. Some Bayesian Nonparametric Models (Paul Damien)
11. Bayesian Modeling in the Wavelet Domain (Fabrizio Ruggeri and Brani
Vidakovic)
12. Bayesian Nonparametric Inference (Stephen Walker)
13. Bayesian Methods for Function Estimation (Nidhan Choudhuri, Subhashis
Ghosal and Anindya Roy)
14. MCMC Methods to Estimate Bayesian Parametric Models (Antonietta Mira)
15. Bayesian Computation: From Posterior
Densities to Bayes Factors, Marginal Likelihoods, and Posterior Model Probabilities (Ming-Hui Chen)
16. Bayesian Modelling and Inference
on Mixtures of Distributions (Jean-Michel Marin, Kerrie Mengersen and Christian P. Robert)
17. Simulation Based Optimal Design (Peter
Muller)
18. Variable Selection and Covariance Selection in Multivariate Regression Models (Edward Cripps, Chris Carter and Robert Kohn)
19. Dynamic Models (Helio S. Mignon, Dani Gamerman, Hedibert F. Lopes and Marco A.R. Ferreira)
20. Bayesian Thinking in Spatial Statistics
(Lance A. Waller)
21. Robust Bayesian Analysis (Fabrizio Ruggeri, David Rios Insua and Jacinto Martin)
22. Elliptical Measurement Error
Models - A Bayesian Approach (Heleno Bolfarine and R.B. Arellano-Valle)
23. Bayesian Sensitivity Analysis in Skew-elliptical Models (Ignacio
Vidal, Pilar Iglesias and Marcia Branco)
24. Bayesian Methods for DNA Microarray Data Analysis (Veerabhadran Baladandyuthapani, Shubhankar
Ray and Bani Mallick)
25. Bayesian Biostatistics (David B. Dunson)
26. Innovative Bayesian Methods for Biostatistics and Epidemiology
(Paul Gustafson, Shahadut Hossain and Lawrence McCandless)
27. Bayesian Analysis of Case-Control Studies (Bhramar Mukherjee, Samiran
Sinha and Malay Ghosh)
28. Bayesian Analysis of ROC Data (Valen E. Johnson and Timothy D. Johnson)
29. Modeling and Analysis for Categorical
Response Data (Siddhartha Chib)
30. Bayesian Methods and Simulation-Based Computation for Contingency Tables (James H. Albert)
31. Multiple
Events Time Data: A Bayesian Recourse (Debajyoti Sinha and Sujit K. Ghosh)
32. Bayesian Survival Analysis for Discrete Data with Left-Truncation
and Interval Censoring (Chong Z. He and Dongchu Sun)
33. Software Reliability (Lynn Kuo)
34. Bayesian Aspects of Small Area Estimation
(Tapabrata Maiti)
35. Teaching Bayesian Thought to Nonstatisticians (Dalene K. Stangl)
Colour Figures
Subject Index
Contents of Previous
Volumes
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