Analyzing the genetic structure of populations: Bayesian F-statistics

You used Hickory to answer questions in part of last week's lab exercise. Today you'll get a peek under the hood. Trust me. I'm only going to give you a peek. There's a lot more going on than we'll cover, but you should see enough to get a better sense of what Hickory does, and it may even help you understand evolutionary sampling better.

If you'd like to learn more about F-statistics, you may find the review that Bruce Weir and I wrote about 10 years ago useful.

We will spend some time at the start of today's lecture learning more about Bayesian influence, in particular the relationship between likelihood, prior, and posterior. We'll use this R notebook to illustrate the ideas in greater depth.

Online notes

Analyzing the genetic structure of populations: Bayesian F-statistics (HTML) (PDF)

Associated readings

Holsinger, K.E., and B.S. Weir. 2009. Genetics in geographically structured populations: defining, estimating, and interpreting FST Nature Reviews Genetics 10:639-650 link

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