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 <rshepard@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
>
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