New notes: Approximate Bayesian Computation and Population Genomics

I’ve posted the notes for Tuesday’s lecture on Approximate Bayesian Computation and for Thursday’s lecture on population genomics. We won’t have time to do more than scratch the surface of either topic, but we’ll dive into a few examples in enough detail that you should be able to understand papers or seminars where people present this kind of work, and you may be inspired to use some of the techniques in your own research. I’d particularly encourage you to think about ways in which you could use Approximate Bayesian Computation to gain insight into ecological or evolutionary processes that interest you. I’m no expert, but if there were enough interest in the topic, I’d be happy to organize a 1-credit seminar next year in which we dove in and learned more about it together.

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