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¶

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¶

  • Index
  • Module Index
  • Search Page
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© Copyright 2013, John Salvatier and Christopher Fonnesbeck.

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