Bayesian Methods for Statistical Analysis
by Borek Puza
Published
2015
Publisher
ANU Press
ISBN-10
611011
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 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.
Subjects
A Mind to Murder
Introduction to Probability and Statistics
Introductory statistics for the behavioral sciences
Statistical methods for the social sciences
The Drunkard's Walk
How the World Really Works
Frequently Asked Questions
Who is the author of Bayesian Methods for Statistical Analysis?
Bayesian Methods for Statistical Analysis was written by Borek Puza.
When was Bayesian Methods for Statistical Analysis published?
The publication date for this specific edition is 2015. The original work may have been published on a different date.