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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Veröffentlicht in:	PloS one Jg. 13; H. 3; S. e0193981
Hauptverfasser:	Mertens, Ulf Kai, Voss, Andreas, Radev, Stefan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 08.03.2018 Public Library of Science (PLoS)
Schlagworte:	Algorithms Analysis Approximation Bayesian analysis Bioinformatics Computation Computer and Information Sciences Economic models Engineering and Technology Freeware Graphical user interface Hypotheses Mathematical models Normal distribution Open source software Parameter estimation Personality Physical Sciences Research and Analysis Methods Social psychology Software packages Source code Statistical analysis Statistical tests Stochastic methods Stochastic processes Stochasticity Germany
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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