Bayes Rules!: An Introduction to Applied Bayesian Modeling

ISBN-13: 9781032191591 / Angielski / Twarda / 2022 / 521 str.

Alicia A. Johnson; Miles Q. Ott; Mine Dogucu

Opis

This book brings the power of modern Bayesian thinking, modeling, and computing to a broad audience. In particular, it is an ideal resource for advanced undergraduate statistics students and practitioners with comparable experience. It empowers readers to weave Bayesian approaches into their everyday practice. 

Spis treści

1 The Big (Bayesian) Picture 2 Bayes’ Rule 3 The Beta-Binomial Bayesian Model  4 Balance and Sequentiality in Bayesian Analyses 5 Conjugate Families 6 Approximating the Posterior  7 MCMC Under the Hood  8 Posterior Inference and Prediction  9 Simple Normal Regression  10 Evaluating Regression Models  11 Extending the Normal Regression Model 12 Poisson and Negative Binomial Regression  13 Logistic Regression 14 Naive Bayes Classification  15 Hierarchical Models are Exciting  16 (Normal) Hierarchical Models Without Predictors  17 (Normal) Hierarchical Models With Predictors 18 Non-Normal Hierarchical Regression & Classification  19 Adding More Layers