Hart:Stats
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Bayesian Methods
I am interested Bayesian methods and am continually teaching myself. A few blogs that I read regularly are those by Jim Albert, and Andrew Gelman.
I also have used the following books to help teach myself
Jim Clark's Models for Ecological Data
Jim Albert's Bayesian Computation in R
And a couple books by Andrew Gelman:
Data analysis using regression and multilevel/hierarchical models
Of course I also rely on my adviser Nick Gotelli's book A primer of Ecological Statistics
Software and Code
I am also a died in the wool believer in the power of R and using it with WinBUGS.
I have some original code that could be used by anyone, but is probably best used as a learning example.
MH_Norm: This has two parts, one is just estimating the parameters for a normal distribution from a vector of random normal numbers. The next is a simple linear regression. It uses a Metropolis-Hastings algorithm for this. Its not the best documented code though, so I apologize.
Other Computing Interests
I am also interested in other computational methods as they apply to ecology such as evolutionary computation and cellular automata models, but I don't have much experience at the moment. But I do have a simple GA written in R to solve the simple one max problem. Here is my solution



