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ABrox: a user-friendly Python module for approximate Bayesian computation with a focus on model comparison

We give an overview of the basic principles of approximate Bayesian computation (ABC), a class of stochastic methods that enable flexible and likelihood-free model comparison and parameter estimation. Our new open-source software called ABrox is used to illustrate ABC for model comparison on two pro...

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Bibliographic Details
Published in: PLOS ONE 13(2018,3) Artikel-Nummer e0193981, 16 Seiten
Authors and Corporations: Mertens, Ulf K. (Author), Voß, Andreas (Author), Radev, Stefan (Author)
Other Authors: Voß, Andreas (VerfasserIn) 1972- , Radev, Stefan (VerfasserIn)
Type of Resource: E-Article
Language: English
published:
March 8, 2018
Series: : PLOS ONE, 13(2018,3) Artikel-Nummer e0193981, 16 Seiten
Subjects:
Source: Verbunddaten SWB
Lizenzfreie Online-Ressourcen
ISSN: 1932-6203
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