Practical Machine Learning Lecture: Nonparametric Bayesian methods (Dirichlet processes)
Nonparametric Bayesian methods (Dirichlet processes) Lecturer: Kurt Miller Date: Nov 19 [Lecture slides] References There are numerous references on Bayesian methods and Markov Chain Monte Carlo (MCMC) techniques. Three useful textbooks are: Bayesian Data Analaysis. Gelman, Carlin, Stern, Rubin. The Bayesian Choice. Robert. Monte Carlo Statistical Methods. Robert, Casella. Unfortunately, there cur
Stat 260/CS 294: Bayesian Modeling and Inference
Stat 260/CS 294 Bayesian Modeling and Inference Prof. Michael Jordan Monday and Wednesday, 1:30-3:00, 330 Evans Spring 2010 Announcements 4/28: Homework 5 is due on May 5th at 5pm. Hardcopies only accepted; they should be placed in the box outside my office door (427 Evans). 4/22: On problem 1 in Homework 5, you can assume that the kernel satisfies detailed balance. 4/21: The due date for the fina
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