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Accelerating sequential Monte Carlo with surrogate likelihoods

Accelerating sequential Monte Carlo with surrogate likelihoods

8 September 2020
Joshua J. Bon
Anthony Lee
Christopher C. Drovandi
ArXivPDFHTML

Papers citing "Accelerating sequential Monte Carlo with surrogate likelihoods"

4 / 4 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
74
13
0
03 Jan 2025
Adaptively switching between a particle marginal Metropolis-Hastings and
  a particle Gibbs kernel in SMC$^2$
Adaptively switching between a particle marginal Metropolis-Hastings and a particle Gibbs kernel in SMC2^22
Imke Botha
Robert Kohn
Leah F. South
Christopher C. Drovandi
23
0
0
21 Jul 2023
Population Calibration using Likelihood-Free Bayesian Inference
Population Calibration using Likelihood-Free Bayesian Inference
Christopher C. Drovandi
Brodie A. J. Lawson
A. Jenner
A. Browning
17
2
0
04 Feb 2022
Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian
  parameter inference for partially observed stochastic processes
Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes
D. Warne
Thomas P. Prescott
Ruth Baker
Matthew J. Simpson
22
15
0
26 Oct 2021
1