Thanks, Rich, I will look at the book. I agree, there are many nice packages, but what if the package changes in a few years? I would have no idea what is going on! I've heard from predecessor in the industry who emphasize the learning, not just plug and chug.
I really want to learn the material and understand it, above all, it is interesting. I am looking more towards Bayesian statistics or Bayesian inference. I am in statistics graduate school, though not my field, the biology application could help in the understand I suppose? On Thu, Jan 19, 2012 at 7:07 PM, Rich Shepard <rshep...@appl-ecosys.com> wrote: > 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 > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
