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On variance stabilisation in Population Monte Carlo by double Rao-Blackwellisation

Abstract : Population Monte Carlo has been introduced as a sequential importance sampling technique to overcome poor fit of the importance function. The performance of the original Population Monte Carlo algorithm is compared with a modified version that eliminates the influence of the transition particle via a double Rao–Blackwellisation. This modification is shown to improve the exploration of the modes through a large simulation experiment on posterior distributions of mean mixtures of distributions.
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Submitted on : Monday, March 3, 2008 - 1:30:56 PM
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Alessandra Iacobucci, Jean-Michel Marin, Christian Robert. On variance stabilisation in Population Monte Carlo by double Rao-Blackwellisation. Computational Statistics and Data Analysis, Elsevier, 2010, 54 (3), pp.698-710. ⟨inria-00260141⟩



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