Bayesian statistics: An introduction

by Peter M. Lee

Statistics is concerned with investigating the degree of confidence we can have in various hypotheses. The Bayesian approach is distinguished by giving each hypothesis a probability and then modifying it in the light of the experimental data. This is controversial because for a new theory with no data available, an element of guesswork has to be involved. The author presents the ideas behind Bayesian statistics at a level suitable for advanced undergraduate or postgraduate students. The discrepancies between the conclusions of Bayesian and classical statistics are highlighted.

Genres: Mathematics, Reference

304 pages, Paperback

First published January 1, 1900

Reviews

[Otto Hahaa · Rating 2 out of 5]

I have had the second edition on my shelf for more than ten years. From time to time I pick it up and start reading. But every time there is a point where I just have to stop, because I cannot understand anything anymore. This point keeps creeping forwards, so I am not completely hopeless. Unfortunately, the world has gone forward, and the second edition is sort of outdated. More modern books would put MCMC methods more in the centre, not just as an after thought at the end of the book. So, I must find another Bayesian book I should try to read for the next ten years…

[Tarek Amr · Rating 2 out of 5]

Is it me or the book is very hard to grasp. Every time I pick it to read about a concept there, I get lost in mathematical notation with no clear explanation.