Optimal Bayesian experimental design for models with intractable likelihoods using indirect inference applied to biological process models

DOI10.1214/15-BA977zbMath1359.62321WikidataQ62899359 ScholiaQ62899359MaRDI QIDQ516516

Caitríona M. Ryan, Anthony N. Pettitt, Christopher C. Drovandi

Publication date: 14 March 2017

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1444396541

zbMATH Keywords

Markov chain Monte Carlo Markov processes approximate Bayesian computation indirect inference auxiliary model Bayesian experimental design

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Optimal statistical designs (62K05) Bayesian inference (62F15)

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