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Sampling latent states for high-dimensional non-linear state space
  models with the embedded HMM method
v1v2 (latest)

Sampling latent states for high-dimensional non-linear state space models with the embedded HMM method

19 February 2016
Alexander Y. Shestopaloff
Radford M. Neal
ArXiv (abs)PDFHTML

Papers citing "Sampling latent states for high-dimensional non-linear state space models with the embedded HMM method"

6 / 6 papers shown
Title
NEO: Non Equilibrium Sampling on the Orbit of a Deterministic Transform
NEO: Non Equilibrium Sampling on the Orbit of a Deterministic Transform
Achille Thin
Yazid Janati
Sylvain Le Corff
Charles Ollion
Arnaud Doucet
Alain Durmus
Eric Moulines
C. Robert
77
7
0
17 Mar 2021
Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled
  Markov Chains
Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov Chains
Francisco J. R. Ruiz
Michalis K. Titsias
taylan. cemgil
Arnaud Doucet
BDLDRL
65
14
0
05 Oct 2020
Replica Conditional Sequential Monte Carlo
Replica Conditional Sequential Monte Carlo
Alexander Y. Shestopaloff
Arnaud Doucet
62
3
0
13 May 2019
Limit theorems for sequential MCMC methods
Limit theorems for sequential MCMC methods
Axel Finke
Arnaud Doucet
A. M. Johansen
103
17
0
03 Jul 2018
On embedded hidden Markov models and particle Markov chain Monte Carlo
  methods
On embedded hidden Markov models and particle Markov chain Monte Carlo methods
Axel Finke
Arnaud Doucet
A. M. Johansen
64
11
0
27 Oct 2016
Efficient data augmentation for fitting stochastic epidemic models to
  prevalence data
Efficient data augmentation for fitting stochastic epidemic models to prevalence data
J. Fintzi
Xiang Cui
J. Wakefield
V. Minin
15
33
0
26 Jun 2016
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