Fluctuation analysis of adaptive multilevel splitting (Q511471)

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Fluctuation analysis of adaptive multilevel splitting
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    Fluctuation analysis of adaptive multilevel splitting (English)
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    21 February 2017
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    Multilevel splitting techniques were introduced as a natural heuristics to analyze particle emission energies and molecular polymer conformations. This paper describes the convergence and the fluctuation analysis of adaptive multilevel splitting techniques. In contrast to their fixed level version, adaptive techniques estimate the sequence of levels on the fly and in an optimal way, with only a low additional computational cost. However, very few convergence results are available for this class of adaptive branching models, mainly because the sequence of levels depends on the occupation measures of the particle systems. This article proves the consistency of these methods as well as a central limit theorem. In particular, it is shown that the precision of the adaptive version is the same as the one of the fixed-levels version where the levels would have been placed in an optimal manner.
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    sequential Monte Carlo
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    rare events
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    interacting particle systems
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    Feynman-Kac semigroups
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    adaptive multilevel splitting
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    adaptive branching models
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    consistency
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    central limit theorem
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