PyMC: a modern, and comprehensive probabilistic programming framework in Python

PyMC is a probabilistic programming library for Python that provides tools for constructing and fitting Bayesian models. It offers an intuitive, readable syntax that is close to the natural syntax statisticians use to describe models. PyMC leverages the symbolic computation library PyTensor, allowin...

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Detalles Bibliográficos
Autores principales: Abril-Pla, Oriol, Andreani, Virgile, Carroll, Colin, Dong, Larry, Fonnesbeck, Christopher J., Kochurov, Maxim, Kumar, Ravin, Lao, Junpeng, Luhmann, Christian C., Martin, Osvaldo A., Osthege, Michael, Vieira, Ricardo, Wiecki, Thomas, Zinkov, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Data Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495961/
https://www.ncbi.nlm.nih.gov/pubmed/37705656
http://dx.doi.org/10.7717/peerj-cs.1516

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495961/
https://www.ncbi.nlm.nih.gov/pubmed/37705656
http://dx.doi.org/10.7717/peerj-cs.1516

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