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An Introduction to Markov Chain Monte Carlo

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Instructor:
Prof. Carlos C. Rodriguez
Office Hours:
Tues., Wed. and Thurs. after lectures or by appointment on Weds..
Text:
Radford M. Neal, 1993. Probabilistic Inference Using Markov Chain Monte Carlo Methods. Available online at http://omega.albany.edu:8008/neal.pdf and http://omega.albany.edu:8008/neal-review.ps


Software:

Neal's MCMC package is now installed and accessible from any Unix machine with access to the /home part of the tree directory. To access the programs from your account just add the directory:
/home/cr569/mcmcbin
to your search path. There is an extensive documentation with examples, available online. Use this User Friendly Window for 1D Metropolis.
A Virtual Monte Carlo Summer at State College, PA

If you don't get the fonts for the equations click here

EVALUATION
Based on attendance and on a computer project assigned individually during the first week of class and due before the end of the course.


JAVASCRIPT and HTML resources:
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    File translated from TEX by TTH, version 1.95.
    On 7 Jun 1999, 16:53.