Implementation of a practical Markov chain Monte Carlo sampling algorithm in PyBioNetFit

Abstract Summary Bayesian inference in biological modeling commonly relies on Markov chain Monte Carlo (MCMC) sampling of a multidimensional and non-Gaussian posterior distribution that is not analytically tractable. Here, we present the implementation of a practical MCMC method in the open-source s...

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Vydané v:	Bioinformatics Ročník 38; číslo 6; s. 1770 - 1772
Hlavní autori:	Neumann, Jacob, Lin, Yen Ting, Mallela, Abhishek, Miller, Ely F, Colvin, Joshua, Duprat, Abell T, Chen, Ye, Hlavacek, William S, Posner, Richard G
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Oxford University Press 04.03.2022
Predmet:	Algorithms Applications Notes Bayes Theorem COVID-19 Humans Markov Chains Monte Carlo Method Software
ISSN:	1367-4803, 1367-4811, 1460-2059, 1367-4811
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