Week 7: Bayesian Modeling (Keegan Hines)

Keegan Hines will kick off a two-week session on Bayesian modeling this Friday, Oct. 11th. Keegan is a graduate student in Neuroscience. His lecture will cover the basic concepts behind Bayesian inference and MCMC methods for estimating posterior distributions.

Keegan has also developed an interactive tool you can use to explore the influence of step sizes and number of iterations on MCMC chains: http://spark.rstudio.com/khines/mcmc/