Case Studies in Bayesian Statistics

Bayesian approaches to data analysis sometimes offer important advantages over classical methods. This collection of papers from a workshop on Bayesian statistics discuss important research problems and show the advantages of a Bayesian approach.

Inhalt
Invited Papers.- School Choice in NY City: A Bayesian Analysis of an Imperfect Randomized Experiment.- Adaptive Bayesian Designs for Dose-Ranging Drug Trials.- Modeling the Impact of Traffic-Related Air Pollution on Childhood Respiratory Illness.- Contributed Papers.- A Hierarchical Model for Estimating Distribution Profiles of Soil Texture.- Assessing the Homogeneity of Three Odds Ratios: A Case Study in Small-sample Inference.- Modeling Rates of Bone Growth and Loss Using Order-Restricted Inference and Stochastic Change Points.- Estimating Genotype Probabilities in Complex Pedigrees.- Identifying Carriers of a Genetic Modifier Using Nonparametric Bayesian Methods.- Bayesian Tools for EDA and Model Building: A Brainy Study.- Bayesian Protein Structure Prediction.- Bayesian Analysis of Sensory Inputs of a Mobile Robot.- Hidden Markov Models for Analysis of Biological Rhythm Data.- Using Prior Opinions to Examine Sample Size in Two Clinical Trials.- Author Index.