Bayes rules! : an introduction to applied Bayesian modeling
著者
書誌事項
Bayes rules! : an introduction to applied Bayesian modeling
（Texts in statistical science）（A Chapman & Hall book）
CRC Press, 2022
- : hbk
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注記
Includes bibliographical references (p. 511-515) and index
内容説明・目次
内容説明
Utilizes data driven examples and exercises.
Emphasizes the iterative model building and evaluation process.
Surveys an interconnected range of multivariable regression and classification models.
Presents fundamental Markov chain Monte Carlo simulation techniques for Bayesian models.
目次
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
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