Requirements: .ePUB reader, 36.54 MB
Overview: 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.
Genre: Non-Fiction > Tech & Devices
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https://katfile.com/u4bx848h1wjr/Bayesi … .epub.html
https://frdl.to/9q3b5a5xq1e4/Bayesian_A … .epub.html
https://ouo.io/RekJfh.
