Sur, P., G. Shmueli, S. Bose, and P. Dubey, "Modeling Bimodal Discrete Data Using Conway-Maxwell-Poisson Mixture Models", ArXiv (Stat): Indian School of Business and Indian Statistical Institute, 2013.

Yahav, I., and G. Shmueli, "Evaluating Directionally-Sensitive Multivariate Control Charts with an Application to Biosurvelliance", Quality and Reliability Engineering International, vol. 30, issue 2, pp. 159-179, 2014. Manuscript (732.57 KB)

Sur, P., G. Shmueli, S. Bose, and P. Dubey, "Modeling Bimodal Discrete Data Using Conway-Maxwell-Poisson Mixture Models", Journal of Business & Economic Statistics, vol. 33, issue 3, pp. 352-365, 2015. CMP_Mixture_Final_Unblinded.pdf (1.62 MB)

Zhu, L., K. F. Sellers, D. S. Morris, and G. Shmueli, "Bridging the Gap: A Generalized Stochastic Process For Count Data", The American Statistician, vol. 71, issue 1, pp. 71-80, 2017.

Chatla, S.B., and G. Shmueli, "An Extensive Examination of Regression Models with a Binary Outcome Variable", Journal of the Association for Information Systems, vol. 18, issue 4, pp. article 1, 2017.

Chatla, S.B., and G. Shmueli, "Efficient estimation of COM–Poisson regression and a generalized additive model", Computational Statistics & Data Analysis, vol. 121, pp. 71–88, 2018.

Chatla, S.B., and G. Shmueli, "A Tree-Based Semi-Varying Coefficient Model for the COM-Poisson Distribution", Journal of Computational and Graphical Statistics, vol. 29, issue 4, pp. 827-846, 2020. JCGS 2020 Chatla Shmueli Tree based Semi-Varying Coefficient Model for CMP.pdf (4.29 MB)