PyMC
1. Appendix: Markov Chain Monte Carlo
1.1. Monte Carlo Methods in Bayesian Analysis
1.2. Markov Chains
1.3. Why MCMC Works: Reversible Markov Chains
1.4. Gibbs Sampling
1.5. The Metropolis-Hastings Algorithm
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PyMC User’s Guide
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PyMC User’s Guide
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Contents:
1. Appendix: Markov Chain Monte Carlo
1.1. Monte Carlo Methods in Bayesian Analysis
1.2. Markov Chains
1.3. Why MCMC Works: Reversible Markov Chains
1.4. Gibbs Sampling
1.5. The Metropolis-Hastings Algorithm
Indices and tables
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Index
Module Index
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