Monte-Carlo
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  • Introduction
  • AIS
  • Generate R.V.chevron-right
  • Gibbschevron-right
  • Markov Chain
  • MC Approximation
  • MC Integrationchevron-right
  • MC Optimization
  • MCMCchevron-right
  • Metropolis-Hastingschevron-right
  • PBMCMC
  • RJMCMC
  • Diagnosing Convergence
  • SMCTC
  • Temperingchevron-right
  • Miscchevron-right
  • References
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References

  1. Hoff, P. D. (2009). A first course in Bayesian statistical methods. Springer Science & Business Media.arrow-up-right

  2. Liu, J. S. (2008). Monte Carlo strategies in scientific computing. Springer Science & Business Media.arrow-up-right

  3. Jacobs, R. (2008). Bayesian Statistics: Normal-Normal Model. Notes.arrow-up-right

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Last updated 7 years ago