Computational Bayesian Statistics PDF ePub eBook

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Computational Bayesian Statistics free pdf There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most introductory statistics texts only present frequentist methods. In Bayesian statistics the rules of probability are used to make inferences about the parameter. Prior information about the parameter and sample information from the data are combined using Bayes theorem. Bayesian statistics has many important advantages that students should learn about if they are going into fields where statistics will be used. This book uniquely covers the topics usually found in a typical introductory statistics book but from a Bayesian perspective.

About William M. Bolstad

William M. Bolstad, PhD, is Senior Lecturer in the Department of Statistics at The University of Waikato (New Zealand). Dr. Bolstad's research interests include Bayesian statistics, MCMC methods, recursive estimation techniques, multiprocess dynamic time series models, and forecasting. He is the author of Introduction to Bayesian Statistics, Second Edition , also published by Wiley.

Details Book

Author : William M. Bolstad
Publisher : Wiley-Blackwell (an imprint of John Wiley
Data Published : 18 December 2009
ISBN : 0470046090
EAN : 9780470046098
Format Book : PDF, Epub, DOCx, TXT
Number of Pages : 352 pages
Age + : 15 years
Language : English
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