Bayesian Modeling and Computation in Python is popular PDF and ePub book, written by Osvaldo A. Martin in 2021-12-28, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Bayesian Modeling and Computation in Python can be Read Online from any device for your convenience.
Bayesian Modeling and Computation in Python Book PDF Summary
Bayesian Modeling and Computation in Python aims to help beginner Bayesian practitioners to become intermediate modelers. It uses a hands on approach with PyMC3, Tensorflow Probability, ArviZ and other libraries focusing on the practice of applied statistics with references to the underlying mathematical theory. The book starts with a refresher of the Bayesian Inference concepts. The second chapter introduces modern methods for Exploratory Analysis of Bayesian Models. With an understanding of these two fundamentals the subsequent chapters talk through various models including linear regressions, splines, time series, Bayesian additive regression trees. The final chapters include Approximate Bayesian Computation, end to end case studies showing how to apply Bayesian modelling in different settings, and a chapter about the internals of probabilistic programming languages. Finally the last chapter serves as a reference for the rest of the book by getting closer into mathematical aspects or by extending the discussion of certain topics. This book is written by contributors of PyMC3, ArviZ, Bambi, and Tensorflow Probability among other libraries.
Detail Book of Bayesian Modeling and Computation in Python PDF
- Author : Osvaldo A. Martin
- Release : 28 December 2021
- Publisher : CRC Press
- ISBN : 9781000520040
- Genre : Computers
- Total Page : 420 pages
- Language : English
- PDF File Size : 9,9 Mb
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