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Smoothing with Couplings of Conditional Particle Filters
8 January 2017
Pierre E. Jacob
Fredrik Lindsten
Thomas B. Schon
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Papers citing
"Smoothing with Couplings of Conditional Particle Filters"
11 / 11 papers shown
Title
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother
Adrien Corenflos
Nicolas Chopin
Simo Särkkä
21
6
0
04 Feb 2022
Unbiased Estimation of the Hessian for Partially Observed Diffusions
Neil K. Chada
Ajay Jasra
Fangyuan Yu
28
2
0
06 Sep 2021
Unbiased approximation of posteriors via coupled particle Markov chain Monte Carlo
W. van den Boom
Ajay Jasra
M. De Iorio
A. Beskos
J. Eriksson
32
9
0
09 Mar 2021
Double Happiness: Enhancing the Coupled Gains of L-lag Coupling via Control Variates
Radu V. Craiu
X. Meng
16
9
0
28 Aug 2020
Simple conditions for convergence of sequential Monte Carlo genealogies with applications
Suzie Brown
Paul A. Jenkins
A. M. Johansen
Jere Koskela
9
5
0
30 Jun 2020
Estimating Convergence of Markov chains with L-Lag Couplings
N. Biswas
Pierre E. Jacob
Paul Vanetti
27
47
0
23 May 2019
Learning dynamical systems with particle stochastic approximation EM
Andreas Svensson
Fredrik Lindsten
27
9
0
25 Jun 2018
Coupled conditional backward sampling particle filter
Anthony Lee
Sumeetpal S. Singh
M. Vihola
18
33
0
15 Jun 2018
Unbiased Hamiltonian Monte Carlo with couplings
J. Heng
Pierre E. Jacob
20
63
0
01 Sep 2017
Importance sampling type estimators based on approximate marginal MCMC
M. Vihola
Jouni Helske
Jordan Franks
24
25
0
08 Sep 2016
Pseudo-Marginal Hamiltonian Monte Carlo
Johan Alenlöv
Arnaud Doucet
Fredrik Lindsten
36
22
0
08 Jul 2016
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