"A Flexible Regression Model for Count Data" - to be published in Annals of Applied Statistics

The paper introduces a neat regression setup for over- and under-dispersed count data, which generalized Poisson regression and logistic regression (yes, it can be applied to binary data!). The model is GLM-based and has lots of neat properties. Estimation is fast too.
You can find the paper at http://ssrn.com/abstract=1127359 and R code here. This is joint work with Kimberly Sellers.

Contact

Galit Shmuéli
Associate Professor of Statistics
Dept of Decision, Operations & Information Technologies
4361 Van Munching Hall
Smith School of Business
University of Maryland
College Park, MD 20742

Phone: 301-405-9679
Fax: 301-405-8655
gshmueli@rhsmith.umd.edu

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