9781118332573-1118332571-Bayesian Statistics: An Introduction

Bayesian Statistics: An Introduction

ISBN-13: 9781118332573
ISBN-10: 1118332571
Edition: 4
Author: Lee, Peter M.
Publication date: 2012
Publisher: Wiley
Format: Paperback 486 pages
FREE shipping on ALL orders

Book details

ISBN-13: 9781118332573
ISBN-10: 1118332571
Edition: 4
Author: Lee, Peter M.
Publication date: 2012
Publisher: Wiley
Format: Paperback 486 pages

Summary

Acknowledged authors Lee, Peter M. wrote Bayesian Statistics: An Introduction comprising 486 pages back in 2012. Textbook and eTextbook are published under ISBN 1118332571 and 9781118332573. Since then Bayesian Statistics: An Introduction textbook was available to sell back to BooksRun online for the top buyback price of $ 6.40 or rent at the marketplace.

Description

Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee’s book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte Carlo based techniques.

This new fourth edition looks at recent techniques such as variational methods, Bayesian importance sampling, approximate Bayesian computation and Reversible Jump Markov Chain Monte Carlo (RJMCMC), providing a concise account of the way in which the Bayesian approach to statistics develops as well as how it contrasts with the conventional approach. The theory is built up step by step, and important notions such as sufficiency are brought out of a discussion of the salient features of specific examples.

This edition:

  • Includes expanded coverage of Gibbs sampling, including more numerical examples and treatments of OpenBUGS, R2WinBUGS and R2OpenBUGS.
  • Presents significant new material on recent techniques such as Bayesian importance sampling, variational Bayes, Approximate Bayesian Computation (ABC) and Reversible Jump Markov Chain Monte Carlo (RJMCMC).
  • Provides extensive examples throughout the book to complement the theory presented.
  • Accompanied by a supporting website featuring new material and solutions.

More and more students are realizing that they need to learn Bayesian statistics to meet their academic and professional goals. This book is best suited for use as a main text in courses on Bayesian statistics for third and fourth year undergraduates and postgraduate students.

Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book