Dear all, I am trying to learn Bayesian inference and Bayesian data analysis, I am new in the field. Would any experts on the list recommend any good sites or materials for beginners? My approach is to learn and understand the theory first, then program on my own using R, though I see there are already packages. appreciate any help, thanks in advance!
On Thu, 19 Jan 2012, C W wrote:> I am trying to learn Bayesian inference and Bayesian data analysis, I am > new in the field. Would any experts on the list recommend any good sites > or materials for beginners? > > My approach is to learn and understand the theory first, then program > on my own using R, though I see there are already packages.I'm far from an expert, but why not avoid re-inventing the wheel while you learn? Buy and read Jim Albert's "Bayesian Computation with R". If you're a population ecologist (or willing to extend pesented examples and ideas to communities and ecosystems), Ben Bolker's "Ecological Models and Data in R" explains when Bayesian and frequentist approaches each have advantages over the other. Rich
You might look at John Kruschke's book, Doing Bayesian Data Analysis (AP), which starts with basics and goes from there. It also relies on R and Bugs.
Even if you're not doing medical research, I like a lot about Spiegelhalter's book: http://www.amazon.com/Bayesian-Approaches-Health-Care-Evaluation-Statistics/dp/0471499757/ref=sr_1_1?ie=UTF8&qid=1327112075&sr=8-1 For interacting with R and JAGS/BUGS my two favorite books that cover theory are Carlin & Louis and the 2nd half of Gelman & Hill. http://www.amazon.com/Bayesian-Methods-Analysis-Chapman-Statistical/dp/1584886978 http://www.amazon.com/Analysis-Regression-Multilevel-Hierarchical-Models/dp/052168689X If you have a handle on the theory, Jim Ablert's book (previously mentioned by Rich Shepard) is fun. -- View this message in context: http://r.789695.n4.nabble.com/Bayesian-data-analysis-recommendations-tp4311905p4315237.html Sent from the R help mailing list archive at Nabble.com.
Hi, On the R side, you may want to have a look at the AtelieR package. It's a GTK GUI which gives you a simple interface to some common Bayesian tests (on a proportion, on a variance, on a mean, on mean and variance jointly, on several proportions, on contingency tables, on several means). There are also some automatic search procedures of the best model, when comparing several means, proportions, or rows in a contingency table. Hope this may be useful, Yvonnick Noel University of Brittany Department of Psychology Rennes, France> Dear all, > I am trying to learn Bayesian inference and Bayesian data analysis, I > am new in the field. Would any experts on the list recommend any good > sites or materials for beginners? > > My approach is to learn and understand the theory first, then program > on my own using R, though I see there are already packages. > > appreciate any help, thanks in advance! >