PyVBMC: Efficient Bayesian inference in Python

Bobby Huggins; Chengkun Li; Marlon Tobaben; Mikko J. Aarnos; Luigi Acerbi

doi:10.21105/joss.05428

PyVBMC: Efficient Bayesian inference in Python

Bobby Huggins, Chengkun Li, Marlon Tobaben, Mikko J. Aarnos, Luigi Acerbi

Department of Computer Science

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Journal	Journal of open source software
Volume	8
Issue number	86
ISSN	2475-9066
DOIs	https://doi.org/10.21105/joss.05428 https://doi.org/10.48550/arXiv.2303.09519
Publication status	Published - 21 Jun 2023
MoE publication type	A1 Journal article-refereed

Fields of Science

stat.ML
cs.LG
stat.CO
stat.ME
113 Computer and information sciences

Access to Document

10.21105/joss.05428Licence: CC BY
10.48550/arXiv.2303.09519

PythonFinal published version, 1.01 MBLicence: CC BY

Cite this

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title = "PyVBMC: Efficient Bayesian inference in Python",

keywords = "stat.ML, cs.LG, stat.CO, stat.ME, 113 Computer and information sciences",

author = "Bobby Huggins and Chengkun Li and Marlon Tobaben and Aarnos, {Mikko J.} and Luigi Acerbi",

year = "2023",

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day = "21",

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language = "English",

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AU - Huggins, Bobby

AU - Li, Chengkun

AU - Tobaben, Marlon

AU - Aarnos, Mikko J.

AU - Acerbi, Luigi

PY - 2023/6/21

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KW - cs.LG

KW - stat.CO

KW - stat.ME

KW - 113 Computer and information sciences

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DO - 10.21105/joss.05428

M3 - Article

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