Bayesian Statistics and Marketing by Peter E. Rossi, Greg Allenby, and Rob McCulloch

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John Wiley and Sons, December 2005 Order from John Wiley and Sons Order from Amazon Table of Contents Errata PowerPoint Slides

bayesm, an R package to implement models and methods in this book is now available on CRAN.
bayesm contains datasets and code to implement many of the models in chapters 1-7 of BSM. Additional data and code for the case studies is given below:

CS 1: A Choice Model for Package Goods
xdata
ydata
run model (R)
MCMC implementation (R)

CS 2: Modeling Interdependent Consumer Preferences
simulated data
actual data
run model on simulated data (R)
run model on actual data (R)
MCMC implementation (R)

CS 3: Overcoming Scale Usage Heterogeneity
rscaleUsage implements MCMC for this model.

See also dataset customerSat

CS 4: A Choice Model with Conjunctive Screening Rules
data
camatt3.txt
camchoice.txt
camdesign.txt
tindex.txt
run model (R)
MCMC implementation (R) / dll / C code

CS 5: Demand for Variety

data

run model (R)

MCMC Implementation (R)