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Adaptive importance sampling based on fault tree analysis for piecewise
  deterministic Markov process

Adaptive importance sampling based on fault tree analysis for piecewise deterministic Markov process

17 September 2022
G. Chennetier
Hassane Chraïbi
A. Dutfoy
Josselin Garnier
ArXivPDFHTML

Papers citing "Adaptive importance sampling based on fault tree analysis for piecewise deterministic Markov process"

3 / 3 papers shown
Title
Optimal projection to improve parametric importance sampling in high
  dimension
Optimal projection to improve parametric importance sampling in high dimension
Maxime ElMasri
Jérome Morio
F. Simatos
14
2
0
13 Jul 2021
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis
  of Big Data
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data
J. Bierkens
Paul Fearnhead
Gareth O. Roberts
53
232
0
11 Jul 2016
Piecewise deterministic Markov process - recent results
Piecewise deterministic Markov process - recent results
Romain Azais
Jean-Baptiste Bardet
A. Genadot
Nathalie Krell
P. Zitt
43
66
0
24 Sep 2013
1