6 1/2 X 9 7/16 in Preface
Contributors
1. Bayesian Inference fo r Casual Effects (Donald B. Rubin)
2. Reference Analysis ( Jos M. Bernardo)
3. Probability Matching Priors (Gauri Sa nkar Datta and Trevor J. Sweeting)
4. Model Selection and Hypothesis Testing Based on Objective Probabilities and Bayes Factors (L uis 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 Diagn ostics (Hal S. Stern and Sandip Sinharay)
7. The Eliminati on of Nuisance Parameters (Brunero Liseo)
8. Bayesian Esti mation of Multivariate Location Parameters (Ann Cohen Brandwein and Will iam E. Strawdermann)
9. Bayesian Nonparametric Modeling an d Data Analysis: An Introduction (Timothy E. Hanson, Adam J. Branscum an d Wesley O. Johnson)
10. Some Bayesian Nonparametric Models (Paul Damien)
11. Bayesian Modeling in the Wavelet Domain (Fabrizio Ruggeri and Brani Vidakovic)
12. Bayesian Nonpara
Contributors
1. Bayesian Inference fo r Casual Effects (Donald B. Rubin)
2. Reference Analysis ( Jos M. Bernardo)
3. Probability Matching Priors (Gauri Sa nkar Datta and Trevor J. Sweeting)
4. Model Selection and Hypothesis Testing Based on Objective Probabilities and Bayes Factors (L uis 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 Diagn ostics (Hal S. Stern and Sandip Sinharay)
7. The Eliminati on of Nuisance Parameters (Brunero Liseo)
8. Bayesian Esti mation of Multivariate Location Parameters (Ann Cohen Brandwein and Will iam E. Strawdermann)
9. Bayesian Nonparametric Modeling an d Data Analysis: An Introduction (Timothy E. Hanson, Adam J. Branscum an d Wesley O. Johnson)
10. Some Bayesian Nonparametric Models (Paul Damien)
11. Bayesian Modeling in the Wavelet Domain (Fabrizio Ruggeri and Brani Vidakovic)
12. Bayesian Nonpara
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