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This textbook on Bayesian Statistics can be used to teach an upper division statistics course, a master's level course, a Ph.D. level course or used independently by researchers. It emphasizes the art of data modeling and analysis over technicalities and is rich with technical demonstrations available to Ph.D. students who need them and to others who are interested in them. The new edition features new material and new exercises and shifts the...

Introducing Bayesian methods, this book emphasizes that the primary role of statistics is to provide appropriate tools for addressing scientific questions. As such, the authors present a collaborative approach to data analysis involving both scientists and statisticians that can be used to model unknown parameters using scientific information, called prior information or apriori. Keeping the mathematics to a minimum, the text focuses on applic...