Bayesian modeling and computation in Python /

Bibliographic Details
Main Author:	Martin, Osvaldo (Author)
Corporate Author:	Taylor & Francis
Format:	eBook
Language:	English
Published:	Boca Raton, FL : A Chapman & Hall Book, CRC Press, 2022.
Series:	Texts in statistical science.
Subjects:	Bayesian statistical decision theory. Python (Computer program language) Mathematical statistics. COMPUTERS / Computer Science MATHEMATICS / Probability & Statistics / Bayesian Analysis Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

ForewordPrefaceSymbolsChapter 1 Bayesian InferenceChapter 2 Exploratory Analysis of Bayesian ModelsChapter 3 Linear Models and Probabilistic Programming LanguagesChapter 4 Extending Linear ModelsChapter 5 SplinesChapter 6 Time SeriesChapter 7 Bayesian Additive Regression TreesChapter 8 Approximate Bayesian ComputationChapter 9End to End Bayesian WorkflowsChapter 10 Probabilistic Programming LanguagesChapter 11 Appendiceal TopicsGlossaryBibliographyIndex