Practical Markov Chain Monte Carlo ] : Rejoinder : Replication without Contrition

@inproceedings{Gelman2010PracticalMC,
  title={Practical Markov Chain Monte Carlo ] : Rejoinder : Replication without Contrition},
  author={Andrew Gelman and Donald B. Rubin},
  year={2010}
}
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Monte Carlo" computer

  • M LAL
  • 1969
Highly Influential
7 Excerpts

A generic approach to posterior integration and Gibbs sampling

  • B. L. NELSON
  • 1992

Bayesian analysis of linear and nonlinear

  • J. WAKEFIELD, A.F.M. SMITH, A. RACINE-POON, A. E. GELFAND
  • 1992
1 Excerpt

Comment on " Hierarchical Bayes models for the progression of HIV infection using longitudinal CD 4 T - cell numbers

  • T. A. LouIs
  • 1992

Contribution to the discussion of three papers on Gibbs sampling and related Markov chain Monte Carlo methods

  • S. M. LEWIS
  • 1992
2 Excerpts

Convergence diagnostics for the Gibbs sampler

  • J. S. ROSENTHAL
  • 1992

Event history modeling of World Fertility Survey data , with application to the fertility decline in Iran

  • C. RITTER
  • 1992

Hierarchical Bayes models for the progression of HIV infection using longitudinal CD 4 T - cell numbrs ( with discussion )

  • N. LANGE, B. P. CARLIN, A. E. GELFAND
  • J . Amer . Statist . Assoc .
  • 1992

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