Doing Bayesian Data Analysis, 2nd Edition

Chapter 24

Count Predicted Variable

Contents

24.1 Poisson Exponential Model    704

24.1.1 Data structure    704

24.1.2 Exponential link function    705

24.1.3 Poisson noise distribution    707

24.1.4 The complete model and implementation in JAGS    708

24.2 Example: Hair Eye Go Again    711

24.3 Example: Interaction Contrasts, Shrinkage, and Omnibus Test    713

24.4 Log-Linear Models for Contingency Tables    715

24.5 Exercises    715

Count me the hours that we've been together, I'll

Count you the hours I'm light as a feather, but

‘Cause every hour you're all that I see, there's

No telling if there's a contingency¹

Consider a situation in which we observe two nominal values for every item measured. For example, suppose there is an election, ...