ABC random forests for Bayesian parameter inference
نویسندگان
چکیده
منابع مشابه
Reliable ABC model choice via random forests
MOTIVATION Approximate Bayesian computation (ABC) methods provide an elaborate approach to Bayesian inference on complex models, including model choice. Both theoretical arguments and simulation experiments indicate, however, that model posterior probabilities may be poorly evaluated by standard ABC techniques. RESULTS We propose a novel approach based on a machine learning tool named random ...
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BY AJAY JASRA, NIKOLAS KANTAS & ADAM PERSING 1Department of Statistics & Applied Probability, National University of Singapore, Singapore, 117546, SG. E-Mail: [email protected] 2Department of Statistical Science, University College London, London, W1CE 6BT, UK. E-Mail: [email protected] 3Department of Mathematics, Imperial College London, London, SW7 2AZ, UK. E-Mail: [email protected]...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2018
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/bty867