Bayesian Methods for Statistical Analysis

Borek Puza

    Research output: Book/ReportBookpeer-review

    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.
    Original languageEnglish
    Place of PublicationCanberra
    PublisherANU Press
    Number of pages697
    Volume1
    Edition1
    ISBN (Print)9781921934254
    DOIs
    Publication statusPublished - 2015

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