Universal probabilistic programming offers a powerful approach to statistical phylogenetics

Ronquist, Kudlicka, Senderov and colleagues present universal probabilistic programming as a powerful method for modeling and inference in statistical phylogenetics. They provide an accessible introduction to these techniques and apply them in inferring complex patterns of diversification and turnov...

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Autores principales:	Fredrik Ronquist, Jan Kudlicka, Viktor Senderov, Johannes Borgström, Nicolas Lartillot, Daniel Lundén, Lawrence Murray, Thomas B. Schön, David Broman
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/0a808ed6a3994f02bf81be5ca5928f5e
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spelling	oai:doaj.org-article:0a808ed6a3994f02bf81be5ca5928f5e2021-12-02T15:52:46ZUniversal probabilistic programming offers a powerful approach to statistical phylogenetics10.1038/s42003-021-01753-72399-3642https://doaj.org/article/0a808ed6a3994f02bf81be5ca5928f5e2021-02-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-01753-7https://doaj.org/toc/2399-3642Ronquist, Kudlicka, Senderov and colleagues present universal probabilistic programming as a powerful method for modeling and inference in statistical phylogenetics. They provide an accessible introduction to these techniques and apply them in inferring complex patterns of diversification and turnover in birds.Fredrik RonquistJan KudlickaViktor SenderovJohannes BorgströmNicolas LartillotDaniel LundénLawrence MurrayThomas B. SchönDavid BromanNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Fredrik Ronquist Jan Kudlicka Viktor Senderov Johannes Borgström Nicolas Lartillot Daniel Lundén Lawrence Murray Thomas B. Schön David Broman Universal probabilistic programming offers a powerful approach to statistical phylogenetics
description	Ronquist, Kudlicka, Senderov and colleagues present universal probabilistic programming as a powerful method for modeling and inference in statistical phylogenetics. They provide an accessible introduction to these techniques and apply them in inferring complex patterns of diversification and turnover in birds.
format	article
author	Fredrik Ronquist Jan Kudlicka Viktor Senderov Johannes Borgström Nicolas Lartillot Daniel Lundén Lawrence Murray Thomas B. Schön David Broman
author_facet	Fredrik Ronquist Jan Kudlicka Viktor Senderov Johannes Borgström Nicolas Lartillot Daniel Lundén Lawrence Murray Thomas B. Schön David Broman
author_sort	Fredrik Ronquist
title	Universal probabilistic programming offers a powerful approach to statistical phylogenetics
title_short	Universal probabilistic programming offers a powerful approach to statistical phylogenetics
title_full	Universal probabilistic programming offers a powerful approach to statistical phylogenetics
title_fullStr	Universal probabilistic programming offers a powerful approach to statistical phylogenetics
title_full_unstemmed	Universal probabilistic programming offers a powerful approach to statistical phylogenetics
title_sort	universal probabilistic programming offers a powerful approach to statistical phylogenetics
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/0a808ed6a3994f02bf81be5ca5928f5e
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Universal probabilistic programming offers a powerful approach to statistical phylogenetics

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