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Bayesian inference for Markov jump processes with informative
  observations

Bayesian inference for Markov jump processes with informative observations

15 September 2014
Andrew Golightly
D. Wilkinson
ArXiv (abs)PDFHTML

Papers citing "Bayesian inference for Markov jump processes with informative observations"

7 / 7 papers shown
Title
Entropic Matching for Expectation Propagation of Markov Jump Processes
Entropic Matching for Expectation Propagation of Markov Jump Processes
Bastian Alt
Heinz Koeppl
Heinz Koeppl
173
1
0
27 Sep 2023
Accelerating inference for stochastic kinetic models
Accelerating inference for stochastic kinetic models
Tom Lowe
Andrew Golightly
Chris Sherlock
79
5
0
06 Jun 2022
Ensemble MCMC: Accelerating Pseudo-Marginal MCMC for State Space Models
  using the Ensemble Kalman Filter
Ensemble MCMC: Accelerating Pseudo-Marginal MCMC for State Space Models using the Ensemble Kalman Filter
Christopher C. Drovandi
R. Everitt
Andrew Golightly
D. Prangle
93
14
0
05 Jun 2019
Efficient sampling of conditioned Markov jump processes
Efficient sampling of conditioned Markov jump processes
Andrew Golightly
Chris Sherlock
TPM
93
13
0
19 Sep 2018
Correlated pseudo-marginal schemes for time-discretised stochastic
  kinetic models
Correlated pseudo-marginal schemes for time-discretised stochastic kinetic models
Andrew Golightly
E. Bradley
Tom Lowe
Colin S. Gillespie
65
12
0
20 Feb 2018
Geometric ergodicity of Rao and Teh's algorithm for Markov jump
  processes and CTBNs
Geometric ergodicity of Rao and Teh's algorithm for Markov jump processes and CTBNs
B. Miasojedow
W. Niemiro
83
8
0
27 Jun 2016
Likelihood free inference for Markov processes: a comparison
Likelihood free inference for Markov processes: a comparison
J. Owen
D. Wilkinson
Colin S. Gillespie
215
33
0
02 Oct 2014
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