Tag Archives: MCMC

Bayesian Markov-chain Monte Carlo in population genetics

Posted on 1 Jul, 2014 by Jeremy Yoder

This is a guest post by Arun Sethuraman, a postdoctoral associate with Jody Hey, studying statistical models for divergence population genetics in the Department of Biology at Temple University. You can also find him on Twitter, and on his short story blog. Prompted by the great response … Continue reading →

Posted in methods, population genetics, software | Tagged , | 3 Comments