Bayesian statistics
by Peter M. Lee
Published
1989
Description
Among statisticians the Bayesian approach continues to gain adherents and this new edition of Peter Lee's classic introduction maintains the clarity of exposition and use of examples for which the text is known and praised. In addition, there is extended coverage of the Metropolis-Hastings algorithm as well as an introduction to the use of BUGS, as this is now the standard computational tool for such numerical work. Other alterations include new material on generalized linear modeling and Bernardo's theory of reference points.
Statistical decision theory and Bayesian analysis
The Signal and the Noise
Statistical decision theory, foundations, concepts, and methods
Statistical decision theory with business and economic applications
The advanced theory of statistics
The Theory That Would Not Die
Frequently Asked Questions
Who is the author of Bayesian statistics?
Bayesian statistics was written by Peter M. Lee.
When was Bayesian statistics published?
The publication date for this specific edition is 1989. The original work may have been published on a different date.