Description: 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, and Bayesian additive regression trees. The final chapters include Approximate Bayesian Computation, end to end case studies showing how to apply Bayesian modeling 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. (Hardcover) (New Condition - However the book got dropped during production and marked the corner on the front cover.)
Price: 48.5 GBP
Location: Plymouth
End Time: 2024-10-11T13:50:14.000Z
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Subject Area: Data Analysis, Algebra, Bayesian, Python, Computational Physics, Mathematical Analysis, Statistical Science, Computer Science, Scientific Computing, Information Science, Science
Publication Name: Bayesian Modeling and Computation in Python
Publisher: Taylor & Francis LTD
Subject: Mathematics, Statistical, Computer Science, Statistics, Bayesian, Python, Statistical Science
Series: Chapman & Hall/Crc Texts in Statistical Science
Publication Year: 2021
Type: Textbook
Format: Hardcover
Language: English
Item Height: 254 mm
Author: Junpeng Lao, Osvaldo A. Martin, Ravin Kumar
Educational Level: Adult & Further Education, Comprehensive School
Features: Illustrated
Level: Beginner, Intermediate, Advanced, Proficiency, Business, Technical
Country/Region of Manufacture: United Kingdom
Item Width: 178 mm
Number of Pages: 422 Pages
