ISTA 410/510: Bayesian Modeling and Inference (Spring, 2011) Lectures


Course home page


Videos

Video of the lectures should be available within 24 hours of the lecture date (occasionally, links will appear before the video is uploaded). The links should work fine with iTunes on Mac and Windows. If you're on Linux, try VLC (it may take a few seconds to stop skipping).
Lecture DateLink
May 4 Part A Part B
May 2 Part A Part B
April 27 Part A Part B
April 25 Part A Part B
April 20 Part A Part B
April 18 Part A Part B
April 13 Part A Part B
April 11 Part A Part B
April 6 Part A Part B
April 4 Part A Part B
March 30 Part A Part B
March 28 Part A Part B
March 23 Part A Part B
March 21 Part A Part B
March 16 Part A Part B
March 14 Part A Part B
March 9 Part A Part B
March 7 Part A Part B
March 02 Part A Part B
February 28 Part A Part B
February 23 Part A Part B
February 21 Part A Part B
February 16 Part A Part B
February 14 Part A Part B
February 9 Part A Part B
February 7 Part A Part B
February 2 Part A Part B
January 31 Part A Part B
January 26 Part A Part B


Draft slides for upcomming lectures

PDF's for upcomming lectures for those that want it. The further in the future these go, the more likely it is that I will tweak the presentation by the time the lecture is given. Also, there will also be bugs, errors, etc, which will get patched in the archival versions if they are spotted in class or shortly thereafter.


Supplemental Material

Graphical models

"Bishop" Chapter 8: Graphical Models

EM

Chapter nine of Pattern Recognition and Machine Learning by Chris Bishop.

HMM

Lawrence R. Rabiner, "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition," Proceedings of the IEEE, 77 (2), p. 257-286, February 1989.

Chapter thirteen of Pattern Recognition and Machine Learning by Chris Bishop.

MCMC

Andrieu, de Freitas, Doucet, and Jordan, An Intrdoction to MCMC for Machine Learning, 2001.

Neal, Probablistic Inference Using Markov Chain Monte Carlo Methods, 1993.


Archival Versions of Lecture Slides (with corrections)

Lecture 1 (PDF, 4 to a page)
Lecture 2 (PDF, 4 to a page)
Lecture 3 (PDF, 4 to a page)
Lecture 4 (PDF, 4 to a page)
Lecture 5 (PDF, 4 to a page)
Lecture 6 (PDF, 4 to a page)
Lecture 7 (PDF, 4 to a page)
Lecture 8 (PDF, 4 to a page)
Lecture 9 (PDF, 4 to a page)
Lecture 10 (PDF, 4 to a page)
Lecture 11 (PDF, 4 to a page)
Lecture 12 (PDF, 4 to a page)
Lecture 13 (PDF, 4 to a page)
Lecture 14 (PDF, 4 to a page)
Lecture 15 (PDF, 4 to a page)
Lecture 16 (PDF, 4 to a page)
Lecture 17 (PDF, 4 to a page)
Lecture 18 (PDF, 4 to a page)
Lecture 19 (PDF, 4 to a page)
Lecture 20 (PDF, 4 to a page)
Lecture 21 (PDF, 4 to a page)
Lecture 22 (PDF, 4 to a page)
Lecture 23 (PDF, 4 to a page)
Lecture 24 (PDF, 4 to a page)
Lecture 25 (PDF, 4 to a page)
Lecture 26 (PDF, 4 to a page)
Lecture 27 (PDF, 4 to a page)
Lecture 28 (PDF, 4 to a page)