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Bayesian Analysis with Python (3rd Edition) - ebooks1001 - 02-04-2024
![[Image: 40dc65b857b349e4bdb1da27b649a9c5.jpeg]](https://i123.fastpic.org/big/2024/0203/c5/40dc65b857b349e4bdb1da27b649a9c5.jpeg)
Free Download Bayesian Analysis with Python: A practical guide to probabilistic modeling
English | 2024 | ISBN: 1805127160 | 503 Pages | EPUB (True) | 44 MB
The third edition of Bayesian Analysis with Python serves as an introduction to the main concepts of applied Bayesian modeling using PyMC, a state-of-the-art probabilistic programming library, and other libraries that support and facilitate modeling like ArviZ, for exploratory analysis of Bayesian models; Bambi, for flexible and easy hierarchical linear modeling; PreliZ, for prior elicitation; PyMC-BART, for flexible non-parametric regression; and Kulprit, for variable selection.
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