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Accelerating ABC methods using Gaussian processes

Accelerating ABC methods using Gaussian processes

7 January 2014
Richard D. Wilkinson
ArXivPDFHTML

Papers citing "Accelerating ABC methods using Gaussian processes"

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
126
13
0
03 Jan 2025
Gaussian process modeling in approximate Bayesian computation to
  estimate horizontal gene transfer in bacteria
Gaussian process modeling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria
Marko Jarvenpaa
Michael U. Gutmann
Aki Vehtari
Pekka Marttinen
122
41
0
20 Oct 2016
Expectation-Propagation for Likelihood-Free Inference
Expectation-Propagation for Likelihood-Free Inference
Simon Barthelmé
Nicolas Chopin
73
85
0
29 Jul 2011
Approximate Bayesian computation scheme for parameter inference and
  model selection in dynamical systems
Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
Tina Toni
David Welch
N. Strelkowa
Andreas Ipsen
M. Stumpf
181
1,542
0
14 Jan 2009
1