Sponsored by the Chicago Chapter Of the American Statistical Association.
Initial registration deadline: January 17, 2007.
Course summary The course will provide an introduction to modern Bayesian statistics in Marketing, drawing on material from the book Bayesian Statistics and Marketing using the R statistical software available at http://www.r-project.org/. We will lay the necessary groundwork for understanding the basics behind hierarchical modeling, and demonstrate practical application using algorithms from the R contributed package "bayesm."
Topics include Bayesian theory and its application to regression and various models of discrete choice, including models with random- effects. Participants will gain an understanding of the Metropolis-Hastings algorithm and other tools needed to estimate their own models for marketing data. Attendees are encouraged to download software onto their laptops prior to course, and to bring their laptops with them to the course.
Early Registration Fees
After January 17, add $50 to the early registration fees.
The fee includes extensive materials, breakfast items, lunch, and refreshments for AM and PM breaks. Space is limited. To ensure yourself a place, please register early.
Questions? Contact Tony Babinec, VP Workshops (firstname.lastname@example.org).
Greg Allenby holds the Helen C. Kurtz Chair in Marketing, and is Professor of Marketing and Professor of Statistics at Ohio State University. Greg is active in both the American Statistical Association and the American Marketing Association. Greg is an ASA Fellow.
Peter Rossi is the Joseph T. and Bernice S. Lewis Professor of Marketing and Statistics at the University of Chicago Graduate School of Business. Peter is a frequent presenter at ASA Chicago Chapter events. Peter is an ASA Fellow.