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Bayesian Statistics : An Introduction, Paperback by Lee, Peter M., Like New U...
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Specifiche dell'oggetto
- Condizione
- Book Title
- Bayesian Statistics : An Introduction
- ISBN
- 9781118332573
Informazioni su questo prodotto
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1118332571
ISBN-13
9781118332573
eBay Product ID (ePID)
113084871
Product Key Features
Number of Pages
496 Pages
Language
English
Publication Name
Bayesian Statistics : an Introduction
Publication Year
2012
Subject
Probability & Statistics / Bayesian Analysis
Type
Textbook
Subject Area
Mathematics
Format
Trade Paperback
Dimensions
Item Height
0.9 in
Item Weight
22 Oz
Item Length
9.1 in
Item Width
6.1 in
Additional Product Features
Edition Number
4
Intended Audience
Scholarly & Professional
LCCN
2012-007007
Reviews
"As a lifelong non-statistician and sporadic "user" of statistics, I have not come across another advanced statistics book (as I would characterize this one) that offers so much to the non-expert and, I'll bet, to the expert as well. The book has my highest recommendation." ( Computing Reviews , 7 January 2013)
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
519.5/42
Synopsis
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., 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., 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.
LC Classification Number
QA279.5.L44 2012
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- c***m (446)- Feedback lasciato dall'acquirente.Ultimi 6 mesiAcquisto verificatoAAA+++; Excellent Service; Great Pricing; Fast Delivery-Faster Than Expected to Hawaii using free shipping USPS Ground Mail, Received 06/18; Paperback book in Great Condition as Described ; TLC Packaging; Excellent Seller Communication, Sends updates . Highly Recommended!, Thank you very much!Jesse Livermore's Two Books of Market Wisdom: Reminiscences of a Stock Operat... (N° 356784261477)
- 1***n (286)- Feedback lasciato dall'acquirente.Ultimi 6 mesiAcquisto verificatoReceived the Tying Nymphs: Essential Flies and Techniques for the Top Patterns, Hardcover. The book is of high quality. I'm very happy with my purchase and will continue to order from this seller. This seller has the best communications that I have ever seen in a sell. The book is at a great value. The book was as described and in excellent condition. Shipping was very fast. The appearance of the book was excellent. The item was very well packaged. Again, I will continue buy from this sell.