Adrian Brasoveanu

Intro to Bayesian inference and MCMC (part 2)

Mon 23 January 2012 by Adrian Brasoveanu

Plan for the Jan. 24 & 26 classes:

  1. wrap up examples of inference for binomial proportions with conjugate Beta priors and with grid-discretized priors
  2. intro to Bayes for cognitive science; slides: intro-bayes-2.pdf
  3. introduction to Markov Chain Monte Carlo (MCMC) and the Metropolis family of algorithms bayes-MCMC-intro.r; on a couple of occasions, you will need the following 2 scripts (by John Kruschke; with very minor modifications here): plotPost.R and HDIofMCMC.R