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Download the fantastic book titled Bayesian Modeling and Computation in Python written by Osvaldo A. Martin, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Bayesian Modeling and Computation in Python", which was released on 28 December 2021. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Bayesian Modeling and Computation in Python by Osvaldo A. Martin PDF

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.

Bayesian Modeling and Computation in Python

Detail About Bayesian Modeling and Computation in Python PDF

  • Author : Osvaldo A. Martin
  • Publisher : CRC Press
  • Genre : Computers
  • Total Pages : 420 pages
  • ISBN : 1000520048
  • PDF File Size : 55,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Bayesian Modeling and Computation in Python

Bayesian Modeling and Computation in Python
  • Publisher : CRC Press
  • File Size : 42,9 Mb
  • Release Date : 28 December 2021
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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

Bayes Rules!

Bayes Rules!
  • Publisher : CRC Press
  • File Size : 43,6 Mb
  • Release Date : 03 March 2022
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Praise for Bayes Rules!: An Introduction to Applied Bayesian Modeling “A thoughtful and entertaining book, and a great way to get started with Bayesian analysis.” Andrew Gelman, Columbia University “The

Bayesian Models

Bayesian Models
  • Publisher : Princeton University Press
  • File Size : 27,5 Mb
  • Release Date : 04 August 2015
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Bayesian modeling has become an indispensable tool for ecological research because it is uniquely suited to deal with complexity in a statistically coherent way. This textbook provides a comprehensive and

Bayesian Data Analysis, Third Edition

Bayesian Data Analysis, Third Edition
  • Publisher : CRC Press
  • File Size : 46,7 Mb
  • Release Date : 01 November 2013
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Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems.

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  • Publisher : CRC Press
  • File Size : 49,8 Mb
  • Release Date : 06 December 2019
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Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of

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  • Publisher : Cambridge University Press
  • File Size : 53,5 Mb
  • Release Date : 03 April 2014
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Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage

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  • Publisher : John Wiley & Sons
  • File Size : 33,5 Mb
  • Release Date : 02 June 2015
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Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics. The authors combine an introduction to

Bayesian Modeling Using WinBUGS

Bayesian Modeling Using WinBUGS
  • Publisher : John Wiley & Sons
  • File Size : 44,6 Mb
  • Release Date : 20 September 2011
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A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety

Bayesian Models for Categorical Data

Bayesian Models for Categorical Data
  • Publisher : John Wiley & Sons
  • File Size : 46,6 Mb
  • Release Date : 13 December 2005
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The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data