Flexible and efficient simulation-based inference for models of decision-making.

Boelts, Jan; Lueckmann, Jan-Matthis; Gao, Richard; Macke, Jakob H

Boelts, Jan; Lueckmann, Jan-Matthis; Gao, Richard; Macke, Jakob H.

Affiliation

Boelts J; Machine Learning in Science, Excellence Cluster Machine Learning, University of Tübingen, Tübingen, Germany.
Lueckmann JM; Technical University of Munich, Munich, Germany.
Gao R; Machine Learning in Science, Excellence Cluster Machine Learning, University of Tübingen, Tübingen, Germany.
Macke JH; Machine Learning in Science, Excellence Cluster Machine Learning, University of Tübingen, Tübingen, Germany.

Elife ; 112022 07 27.

Article in En | MEDLINE | ID: mdl-35894305

Subject(s)

Algorithms; Research Design; Bayes Theorem; Computer Simulation; Markov Chains; Monte Carlo Method

Key words

Bayesian inference; computational modeling; decision-making; machine learning; neuroscience; none; simulation-based inference

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Research Design / Algorithms Type of study: Health_economic_evaluation / Prognostic_studies Language: En Journal: Elife Year: 2022 Type: Article Affiliation country: Germany

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