Bayes Rules! : an Introduction to Applied Bayesian Modeling.

Bibliographic Details
Main Author:	Johnson, Alicia A. (Author)
Corporate Author:	ProQuest (Firm)
Other Authors:	Ott, Mies Q. (Editor), Dogucu, Mine (Editor)
Format:	eBook
Language:	English
Published:	[Place of publication not identified] : Chapman and Hall/CRC, 2022.
Edition:	First edition.
Series:	Chapman & Hall/CRC texts in statistical science
Subjects:	Bayesian statistical decision theory. R (Computer program language) MATHEMATICS > Probability & Statistics > Bayesian Analysis. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

List of TablesList of FiguresPrefaceAbout the AuthorChapter 1 The Big (Bayesian) PictureChapter 2 Bayes⁰́₉ RuleChapter 3 The Beta-Binomial Bayesian ModelChapter 4 Balance and Sequentiality in Bayesian AnalysesChapter 5 Conjugate Families Chapter 6 Approximating the PosteriorChapter 7 MCMC Under the HoodChapter 8 Posterior Inference and PredictionChapter 9 Simple Normal RegressionChapter 10 Evaluating Regression ModelsChapter 11 Extending the Normal Regression ModelChapter 12 Poisson and Negative Binomial RegressionChapter 13 Logistic RegressionChapter 14 Naive Bayes ClassificationChapter 15 Hierarchical Models are ExcitingChapter 16 (Normal) Hierarchical Models Without PredictorsChapter 17 (Normal) Hierarchical Models With PredictorsChapter 18 Non-Normal Hierarchical Regression & ClassificationChapter 19 Adding More Layers Bibliography Index