January 2024
Beginner
394 pages
8h 51m
English
Content preview from Bayesian Analysis with Python - Third Edition
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Bibliography
Oriol Abril-Pla, Virgile Andreani, Colin Carroll, Larry Dong, Christopher J. Fonnesbeck, Maxim Kochurov, Ravin Kumar, Jupeng Lao, Christian C. Luhmann, Osvaldo A. Martin, Michael Osthege, Ricardo Vieira, Thomas Wiecki, and Robert Zinkov. Pymc: A modern and comprehensive probabilistic programming framework in python. PeerJ Computer Science, 9:e1516, 2023. doi: 10.7717/peerj-cs.1516.
Agustina Arroyuelo, Jorge A. Vila, and Osvaldo A. Martin. Exploring the quality of protein structural models from a bayesian perspective. Journal of Computational Chemistry, 42(21): 1466–1474, 2021. doi: https://doi.org/10.1002/jcc.26556. URL https://onlinelibrary.wiley.com/doi/abs/10.1002/jcc.26556.
Joseph K. Blitzstein. Introduction to ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.