Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models

Research output: Contribution to journalArticleScientificpeer-review

Original languageEnglish
JournalJournal of Machine Learning Research
Volume17
Number of pages47
ISSN1532-4435
Publication statusPublished - Aug 2016
MoE publication typeA1 Journal article-refereed

Fields of Science

  • intractable likelihood
  • latent variables
  • Bayesian inference
  • approximate Bayesian computation
  • computational efficiency
  • 113 Computer and information sciences

Cite this

@article{05122768f1b940808fcbbdc035c9c0af,
title = "Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models",
keywords = "intractable likelihood, latent variables, Bayesian inference, approximate Bayesian computation, computational efficiency, 113 Computer and information sciences",
author = "Gutmann, {Michael U.} and Jukka Corander",
year = "2016",
month = "8",
language = "English",
volume = "17",
journal = "Journal of Machine Learning Research",
issn = "1532-4435",
publisher = "Microtome Publishing",

}

Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models. / Gutmann, Michael U.; Corander, Jukka.

In: Journal of Machine Learning Research, Vol. 17, 08.2016.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models

AU - Gutmann, Michael U.

AU - Corander, Jukka

PY - 2016/8

Y1 - 2016/8

KW - intractable likelihood

KW - latent variables

KW - Bayesian inference

KW - approximate Bayesian computation

KW - computational efficiency

KW - 113 Computer and information sciences

M3 - Article

VL - 17

JO - Journal of Machine Learning Research

JF - Journal of Machine Learning Research

SN - 1532-4435

ER -