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Accelerating inference for stochastic kinetic models

Accelerating inference for stochastic kinetic models

Tom Lowe
Andrew Golightly
Chris Sherlock
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Papers citing "Accelerating inference for stochastic kinetic models"

3 / 3 papers shown
Title
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC
F. Llorente
Luca Martino
Jesse Read
D. Delgado
OffRL
81
13
0
03 Jan 2025
Particle Gibbs for Likelihood-Free Inference of State Space Models with Application to Stochastic Volatility
Particle Gibbs for Likelihood-Free Inference of State Space Models with Application to Stochastic Volatility
Zhaoran Hou
Samuel W.K. Wong
24
0
0
20 Dec 2023
Entropic Matching for Expectation Propagation of Markov Jump Processes
Entropic Matching for Expectation Propagation of Markov Jump Processes
Bastian Alt
Heinz Koeppl
Heinz Koeppl
34
1
0
27 Sep 2023