Lee, Peter M.
Bayesian Statistics: An Introduction
- ISBN 13:
- 9781118332573
- author:
- Lee, Peter M.
- format:
- Paperback
- publisher:
- John Wiley & Sons
- language:
- English
- Publication Year:
- 2012
- Pages:
- 486
- Dimensions:
- 15.3 x 2.2 x 22.7 cm
- Genre:
- Science & Nature, Mathematics, Probability & Statistics
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Bayesian Statistics: An Introduction provides a comprehensive overview of the Bayesian approach to statistics. This fourth edition builds upon recent techniques such as variational methods, Bayesian importance sampling, approximate Bayesian computation, and Reversible Jump Markov Chain Monte Carlo (RJMCMC), offering a concise account of how the Bayesian method develops and contrasts with conventional approaches. The book presents extensive examples throughout its pages, complementing the theory presented. It also includes expanded coverage of Gibbs sampling, including more numerical examples and treatments of OpenBUGS, R2WinBUGS, and R2OpenBUGS. A supporting website features new material and solutions to further support students. Suitable for use as a main text in courses on Bayesian statistics, this book is ideal for third and fourth-year undergraduates and postgraduate students looking to learn about the subject.
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