Bayesian Methods for Statistical Analysis

• Category: Mathematics
• Author: Borek Puza
• License: Creative Commons
• Pages: 698 pages
• File type: PDF (6.1 MB)

Read and download free eBook intituled Bayesian Methods for Statistical Analysis in format PDF (6.1 MB) – 698 pages created by Borek Puza.

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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Bayesian Methods for Statistical Analysis