Bayesian Methods for Statistical Analysis

Bayesian Methods for Statistical Analysis

作者:Puza, Borek
ISBN:9781921934254
语言:English
出版社:ANU Press
格式:Pdf
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Keywords

statistics; mathematics; bayesian inference; probability; Algorithm; Confidence interval; Histogram; Monte Carlo method; Posterior probability; Sampling (statistics); WinBUGS

Abstract

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 computer code. It is suitable for self-study or a semester-long course, with three hours of lectures and one tutorial per week for 13 weeks.

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作者:Puza, Borek
ISBN:9781921934254
语言:English
出版社:ANU Press
格式:Pdf

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