DEL MORAL, Pierre; JASRA, Ajay; LAW, Kody; ZHOU, Yan

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DEL MORAL, Pierre
Quality control and dynamic reliability [CQFD]

JASRA, Ajay
Department of Computing [London]

LAW, Kody
Department of Mathematics and Statistics [University of Massachusetts]

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2016-03-03

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This article considers the sequential Monte Carlo (SMC) approximation of ratios of normalizing constants associated to posterior distributions which in principle rely on continuum models. Therefore, the Monte Carlo estimation error and the discrete approximation error must be balanced. A multilevel strategy is utilized to substantially reduce the cost to obtain a given error level in the approximation as compared to standard esti-mators. Two estimators are considered and relative variance bounds are given. The theoretical results are numerically illustrated for the example of identifying a parametrized permeability in an elliptic equation given point-wise observations of the pressure.< Réduire

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Multi-Level Monte Carlo

Sequential Monte Carlo

Bayesian Inverse Problems

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Multilevel Sequential Monte Carlo Samplers for Normalizing Constants

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