Metropolis Based Posterior Integration Schemes

  • Peter M Uller
  • Published 1994


This paper proposes a Metropolis based algorithm to generate posterior Monte Carlo samples. The algorithm does not directly depend upon any approximation or envelope function for the posterior density. Convergence in total variation and an ergodic theorem are shown. Applying the proposed scheme to generate from the conditional distributions required for the… (More)

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