statistics G6102 Notes

Here are the slides for the localization application that I went through in the first class.

Introductory slides from Monday January 28th.

Graphical model slides from Wednesday January 30th.

Rough Bayes slides from Wednesday February 13th.

Monte Carlo slides from Monday February 18th.

Markov Chain Monte Carlo slides.

Gibbs sampling examples.

Jeff Grynaviski's notes on MCMC diagnostics.

Hidden Markov models.

Computing the likelihood.

Sequential Monte Carlo.

Structured regression.

Variational logistic regression.

Missing data in clinical trials.

Bayesian analysis of broken clinical trials.

Notes on confounding.