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Sequential Monte Carlo with transformations

This paper examines methodology for performing Bayesian inference sequentially on a sequence of posteriors on spaces of different dimensions. For this, we use sequential Monte Carlo samplers, introducing the innovation of using deterministic transformations to move particles effectively between targ...

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Bibliografske podrobnosti
izdano v:Stat Comput
Main Authors: Everitt, Richard G., Culliford, Richard, Medina-Aguayo, Felipe, Wilson, Daniel J.
Format: Artigo
Jezik:Inglês
Izdano: Springer US 2019
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC7026014/
https://ncbi.nlm.nih.gov/pubmed/32116416
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11222-019-09903-y
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