Bayes and Empirical Bayes Methods for Data Analysis, Second Edition

Carlin, Bradley P.; Louis, Thomas A.; Carlin, Bradley

ISBN 10: 1584881704 / ISBN 13: 9781584881704

Published by Chapman and Hall/CRC, 2000

About this Item

Text block firm and clean, binding unblemished, boards straight, no highlights or underlining. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.

Seller Inventory # 1LAUHV0027OJ

Bibliographic Details

• Title: Bayes and Empirical Bayes Methods for Data Analysis, Second Edition
• Publisher: Chapman and Hall/CRC
• Publication Date: 2000
• Language: English
• ISBN 10: 1584881704
• ISBN 13: 9781584881704
• Binding: Hardcover
• Edition: 2nd Edition
• Condition: VeryGood

About this title

Synopsis

In recent years, Bayes and empirical Bayes (EB) methods have continued to increase in popularity and impact. Building on the first edition of their popular text, Carlin and Louis introduce these methods, demonstrate their usefulness in challenging applied settings, and show how they can be implemented using modern Markov chain Monte Carlo (MCMC) methods. Their presentation is accessible to those new to Bayes and empirical Bayes methods, while providing in-depth coverage valuable to seasoned practitioners.

With its broad appeal as a text for those in biomedical science, education, social science, agriculture, and engineering, this second edition offers a relatively gentle and comprehensive introduction for students and practitioners already familiar with more traditional frequentist statistical methods. Focusing on practical tools for data analysis, the book shows how properly structured Bayes and EB procedures typically have good frequentist and Bayesian performance, both in theory and in practice.

Review

About the Second Edition:

The writing is excellent and the worked examples are also excellent for understanding the methods. In summary, I recommend Bayes and Empirical Bayes Methods for Data Analysis for advanced graduate students and all research workers.
-Olaf Berke in Computational Statistics & Data Analysis, January 2001

...particularly commends the book to practising biometricians who want to explore the potential for using Bayesian methods in their own work.
-Biometrics, Vol. 57, No. 3, September 2001

...the book is beautifully written and many of the questions it raises - and most of the answers provided - are of concern for the applied statistician whether Bayesian, frequentist or likelihoodist.
-Guadalupe Gomez, Statistics in Medicine Vol 21, #23 Dec 15 2002.

About the First Edition:

...an important and timely addition to applied statistics...the writing is excellent, and the authors are able to present an amazing amount of material cogently in [a] smaller book...the reader reaps the benefits of being in the hands of a true master...
-Journal of American Statistical Association

...an excellent exposition of Bayes and empirical Bayes methods...gives a well-balanced mathematical and computational treatment of Bayes and empirical Bayes paradigms, and nicely examines the similarities and contrasts in the two approaches.
-Short Book Reviews of the ISI

...and impressive compendium of the mathematical techniques underlying Bayes and empirical Bayes methods...
-American Journal of Epidemiology