November 2010
Beginner to intermediate
672 pages
19h 28m
English
Content preview from Doing Bayesian Data Analysis
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Chapter 17
Metric Predicted Variable with Multiple Metric Predictors
Contents
17.1 Multiple Linear Regression
17.1.1 The Perils of Correlated Predictors
17.1.2 The Model and BUGS Program
17.1.3 The Posterior: How Big Are the Slopes?
17.1.4 Posterior Prediction
17.2 Hyperpriors and Shrinkage of Regression Coefficients
17.2.1 Informative Priors, Sparse Data, and Correlated Predictors
17.3 Multiplicative Interaction of Metric Predictors
17.3.1 The Hierarchical Model and BUGS Code
17.3.2 Interpreting the Posterior
17.4 Which Predictors Should Be Included?
17.5 R Code
17.5.1 Multiple Linear Regression
17.5.2 Multiple Linear Regression with Hyperprior on Coefficients
17.6 Exercises
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.