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Bayesian Methods for Statistical Analysis

Puza, Borek

Description

Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite population inference, biased sampling and nonignorable nonresponse. The book contains many exercises, all with worked solutions, including complete...[Show more]

CollectionsANU Research Publications
Date published: 2015
Type: Book
URI: http://hdl.handle.net/1885/153912

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