ABSTRACT
Bayesian Data Analysis describes how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Using examples largely from the authors' own experiences, the book focuses on modern computational tools and obtains inferences using computer simulations. Its unique features include thorough discussions of the methods for
TABLE OF CONTENTS
part |2 pages
Part I: Fundamentals of Bayesian Inference
part |2 pages
Part II: Fundamentals of Bayesian Data Analysis
part |2 pages
Part III: Advanced Computation
part |2 pages
Part IV: Regression Models
part |2 pages
Part V: Specific Models and Problems