Bayesian Statistics: An Introduction and over one million other books are available for Amazon Kindle. Learn more
  • List Price: $61.95
  • Save: $30.70 (50%)
Rented from apex_media
To Rent, select Shipping State from options above
Due Date: Dec 21, 2014
FREE return shipping at the end of the semester. Access codes and supplements are not guaranteed with rentals.
Used: Good | Details
Sold by apex_media
Condition: Used: Good
Comment: Ships direct from Amazon! Qualifies for Prime Shipping and FREE standard shipping for orders over $25. Overnight and 2 day shipping available!
Access codes and supplements are not guaranteed with used items.
Add to Cart
Qty:1
  • List Price: $61.95
  • Save: $16.76 (27%)
In Stock.
Ships from and sold by Amazon.com.
Gift-wrap available.
Add to Cart
Trade in your item
Get a $18.50
Gift Card.
Have one to sell? Sell on Amazon
Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more
See this image

Bayesian Statistics: An Introduction Paperback – September 4, 2012

ISBN-13: 978-1118332573 ISBN-10: 1118332571 Edition: 4th

Buy New
Price: $45.19
Rent
Price: $31.25
41 New from $36.98 16 Used from $37.02
Rent from Amazon Price New from Used from
eTextbook
"Please retry"
Paperback
"Please retry"
$31.25
$45.19
$36.98 $37.02

Free%20Two-Day%20Shipping%20for%20College%20Students%20with%20Amazon%20Student




Frequently Bought Together

Bayesian Statistics: An Introduction + Introduction to Bayesian Statistics, 2nd Edition + Doing Bayesian Data Analysis: A Tutorial with R and BUGS
Price for all three: $246.00

Buy the selected items together

NO_CONTENT_IN_FEATURE

Save up to 90% on Textbooks
Rent textbooks, buy textbooks, or get up to 80% back when you sell us your books. Shop Now

Product Details

  • Paperback: 486 pages
  • Publisher: Wiley; 4 edition (September 4, 2012)
  • Language: English
  • ISBN-10: 1118332571
  • ISBN-13: 978-1118332573
  • Product Dimensions: 0.9 x 5.8 x 8.8 inches
  • Shipping Weight: 1.3 pounds (View shipping rates and policies)
  • Average Customer Review: 2.3 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #326,615 in Books (See Top 100 in Books)

Editorial Reviews

Review

“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)

From the Back Cover

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.


More About the Author

Discover books, learn about writers, read author blogs, and more.

Customer Reviews

2.3 out of 5 stars
5 star
1
4 star
0
3 star
0
2 star
0
1 star
2
See all 3 customer reviews
Share your thoughts with other customers

Most Helpful Customer Reviews

8 of 9 people found the following review helpful By tahabekir on September 17, 2013
Format: Kindle Edition Verified Purchase
It's incredibly difficult to learn anything from this book. Initially I thought I was having a difficult time because topics are complicated but when I read a few topics that I knew before hand I noticed the author has a terrible way of explaining (or lack of explaining) things. He just dumps a load of new notation and equations on you without properly explaining the logic behind.

I just read the EM (expectation maximization) chapter (close to the end) and I'm seriously angry. I read this topic from at least two different sources before and the way it's taught in this book is appalling. It's almost as if the author is trying to confuse you.

Whenever I look up the concepts allegedly taught in this book in wikipedia I have a much easier time understanding them. This should explain how terrible this book is.

To the author: sir you may or may not be a talented individual but please do not write anything, ever.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
2 of 2 people found the following review helpful By Hemant G. Muley on October 2, 2013
Format: Paperback Verified Purchase
I gave the highest rating to the Lee book because he develops the subject matter systematically, and there are no gaps in his reasoning. Moreover, the author's language is precise, and he supplies the motivation for each new concept. The companion website for this book will ensure your success, because solutions to various exercises are presented. All in all, the resources provided by Lee in this compact textbook are more than adequate to make a serious student do well in homework and exams. However, this is a textbook suitable only for those who have sufficient background in Probability and Calculus.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
By Xinchen C. on September 21, 2013
Format: Paperback Verified Purchase
I thought it is a good book, but I was wrong. There are lots of typo, and the statistical symbols in this book are rarely found in other books. It makes confusions when you try to connect between the knowledge you've learn and the material in this book.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again

Customer Images

Search

What Other Items Do Customers Buy After Viewing This Item?