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Markov Chain Monte Carlo Methods

Markov Chain Monte Carlo Methods

This video was recorded at Machine Learning Summer School (MLSS), Berder Island 2004. 0. A fundamental theorem of simulation 1. Markov chain basics 2. Slice sampling 3. Gibbs sampling 4. Metropolis-Hastings algorithms 5. Variable dimension models and reversible jump MCMC 6. Perfect sampling 7. Adaptive MCMC and population Monte Carlo
Keywords:
videolectures, ocwc, oec
Disciplines:
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Material Type:
Presentation
Date Added to MERLOT:
February 10, 2015
Date Modified in MERLOT:
February 10, 2015
Author:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed, College Lower Division, College Upper Division
Technical Format:
Video
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Accessibility Information Available:
Unknown
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States

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