Universal probabilistic programming offers a powerful approach to statistical phylogenetics

Autor: Fredrik Ronquist, Jan Kudlicka, Viktor Senderov, Johannes Borgström, Nicolas Lartillot, Daniel Lundén, Lawrence Murray, Thomas B. Schön, David Broman

Publikováno v: Communications Biology, Vol 4, Iss 1, Pp 1-10 (2021)

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 inferr

Externí odkaz: https://doaj.org/article/0a808ed6a3994f02bf81be5ca5928f5e

Automatic Alignment in Higher-Order Probabilistic Programming Languages

Autor: Daniel Lundén, Gizem Çaylak, Fredrik Ronquist, David Broman

Publikováno v: Programming Languages and Systems ISBN: 9783031300431

Probabilistic Programming Languages (PPLs) allow users to encode statistical inference problems and automatically apply an inference algorithm to solve them. Popular inference algorithms for PPLs, such as sequential Monte Carlo (SMC) and Markov chain

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de69fe10d0d26dd4f10da88440a0c34c
https://doi.org/10.1007/978-3-031-30044-8_20

Publisher Correction: Universal probabilistic programming offers a powerful approach to statistical phylogenetics

Autor: Lawrence Murray, Nicolas Lartillot, Fredrik Ronquist, Johannes Borgström, Thomas B. Schön, Daniel Lundén, Viktor Senderov, Jan Kudlicka, David Broman

Publikováno v: Communications Biology
Communications Biology, Vol 4, Iss 1, Pp 1-1 (2021)

Statistical phylogenetic analysis currently relies on complex, dedicated software packages, making it difficult for evolutionary biologists to explore new models and inference strategies. Recent years have seen more generic solutions based on probabi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7de81c77bbc6b499b5ce8228c1f76445
http://europepmc.org/articles/PMC7961036

Universal probabilistic programming offers a powerful approach to statistical phylogenetics

Autor: Nicolas Lartillot, Thomas B. Schön, Johannes Borgström, Lawrence Murray, Daniel Lundén, Fredrik Ronquist, David Broman, Jan Kudlicka, Viktor Senderov

Publikováno v: Communications Biology
Communications Biology, Nature Publishing Group, 2021, 4 (1), ⟨10.1038/s42003-021-01753-7⟩
Communications Biology, Vol 4, Iss 1, Pp 1-10 (2021)
Communications Biology, 2021, 4 (1), ⟨10.1038/s42003-021-01753-7⟩

Statistical phylogenetic analysis currently relies on complex, dedicated software packages, making it difficult for evolutionary biologists to explore new models and inference strategies. Recent years have seen more generic solutions based on probabi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e94dd34108353da729293fffdff0ab2c