Marc has two books out:
1. Introduction to WinBUGS for Ecologists: Bayesian approach to regression,
ANOVA, mixed models and related analyses
2. Bayesian Population Analysis using WinBUGS: A hierarchical perspective
I have the first and I probably reference it once a week. I'm not a
statistician (just a wannabe) but I find this book the most useful. If you
use it as a tutorial, you create data, then analyze it using R and WinBUGS. So
you're able to compare standard statistical analyses with Bayesian results.
I've also read McCarthy's book. This is a very nice introduction to the
Bayesian approach and I would read this first.
Cheers,
Jeff
*
Jeffrey A. Stratford, Ph.D.
Department of Health and Biological Sciences
84 W. South St.
Wilkes Univertsity, PA 18766
570-332-2942
http://web.wilkes.edu/jeffrey.stratford/
*
-Original Message-
From: r-sig-ecology-boun...@r-project.org
[mailto:r-sig-ecology-boun...@r-project.org] On Behalf Of Ben Bolker
Sent: Saturday, November 26, 2011 3:35 PM
To: r-sig-ecology@r-project.org
Subject: Re: [R-sig-eco] papers about using MCMC in ecological study
Jakub Szymkowiak qbaszym@... writes:
Duncan, Rob, Peter - thanks a lot for suggestions about literature!
Peter - by MCMC methods I mean Markov Chain Monte Carlo ;)
I have great book by Ben Bolker - Ecological Models and Data in R, but I'm
searching for more examples of using MCMC in the study of habitat selection.
Anyway - thanks for Your advice!
(1) Michael McCarthy's book on Bayesian methods (the best/gentlest
introduction
to WinBUGS/Bayesian methods for ecologists)
(2) Royle and Dorazio's book
(3) maybe Marc Kéry's new book (haven't read it)
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