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Bayesian Inference for Hybrid Discrete-Continuous Stochastic Kinetic
  Models

Bayesian Inference for Hybrid Discrete-Continuous Stochastic Kinetic Models

26 February 2014
Chris Sherlock
Andrew Golightly
Colin S. Gillespie
ArXiv (abs)PDFHTML

Papers citing "Bayesian Inference for Hybrid Discrete-Continuous Stochastic Kinetic Models"

7 / 7 papers shown
Title
A hybrid tau-leap for simulating chemical kinetics with applications to
  parameter estimation
A hybrid tau-leap for simulating chemical kinetics with applications to parameter estimation
Thomas Trigo Trindade
K. Zygalakis
71
1
0
17 Jan 2024
Bayesian Inference for Jump-Diffusion Approximations of Biochemical
  Reaction Networks
Bayesian Inference for Jump-Diffusion Approximations of Biochemical Reaction Networks
Derya Altıntan
Bastian Alt
Heinz Koeppl
58
1
0
13 Apr 2023
Accelerating Bayesian inference for stochastic epidemic models using
  incidence data
Accelerating Bayesian inference for stochastic epidemic models using incidence data
Andrew Golightly
L. Wadkin
Sam A. Whitaker
A. Baggaley
N. G. Parker
T. Kypraios
58
6
0
27 Mar 2023
Efficient sampling of conditioned Markov jump processes
Efficient sampling of conditioned Markov jump processes
Andrew Golightly
Chris Sherlock
TPM
96
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
68
12
0
20 Feb 2018
Approximation and inference methods for stochastic biochemical kinetics
  - a tutorial review
Approximation and inference methods for stochastic biochemical kinetics - a tutorial review
David Schnoerr
G. Sanguinetti
R. Grima
126
219
0
23 Aug 2016
Optimal scaling for the pseudo-marginal random walk Metropolis:
  insensitivity to the noise generating mechanism
Optimal scaling for the pseudo-marginal random walk Metropolis: insensitivity to the noise generating mechanism
Chris Sherlock
OT
86
9
0
19 Aug 2014
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