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).
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)