Shmueli, G., T. P. Minka, J. B. Kadane, S. Borle, and P. Boatwright, "Using Computational and Mathematical Methods to Explore a New Distribution: The v-Poisson", Technical Report #740: Dept. of Statistics, Carnegie Mellon University, 2001.

Minka, T. P., G. Shmueli, J. B. Kadane, S. Borle, and P. Boatwright, "Computing with the COM-Poisson Distribution", Technical Report #776: Dept. of Statistics, Carnegie Mellon University, 2003.

Borle, S., P. Boatwright, J. B. Kadane, J. C. Nunes, and G. Shmueli, "The Effect of Product Assortment Changes on Customer Retention", Marketing Science, vol. 24, issue 4, pp. 616-622, 2005. SSRN-id991959.pdf (102.3 KB)

Shmueli, G., T. P. Minka, J. B. Kadane, S. Borle, and P. Boatwright, "A Useful Distribution for Fitting Discrete Data: Revival of the COM-Poisson", Journal of The Royal Statistical Society, Series C (Applied Statistics), vol. 54, issue 1, pp. 127-142, 2005. JRSS-COM-Poisson.pdf (278.49 KB)

"Accelerating Statistical Research in Drug Safety", Pharmacoepidemiology and Drug Safety, vol. 15, issue 9, pp. 687-688, 2006.

Kadane, J. B., G. Shmueli, T. P. Minka, S. Borle, and P. Boatwright, "Conjugate Analysis of the Conway-Maxwell-Poisson Distribution", Bayesian Analysis, vol. 1, issue 2, pp. 363-374, 2006. kadane363-374.pdf (183.73 KB)

Kadane, J. B., R. Krishnan, and G. Shmueli, "A Data Disclosure Policy for Count Data Based on the COM-Poisson Distribution", Management Science, vol. 52, issue 10, pp. 1610-1617, 2006. Manuscript (136.11 KB)

Kadane, J. B., R. Krishnan, and G. Shmueli, "A Data Disclosure Policy for Count Data Based on the COM-Poisson Distribution", Management Science, vol. 52, issue 10, pp. 1610-1617, 2006. Manuscript (136.11 KB)

Yahav, I., and G. Shmueli, "Algorithm Combination for Improved Performance in Biosurveillance Systems", Intelligence and Security Informatics: Biosurveillance, vol. 4506, pp. 91-102, 2007.

Yahav, I., and G. Shmueli, "Algorithm Combination for Improved Performance in Biosurveillance Systems", Intelligence and Security Informatics: Biosurveillance, vol. 4506, pp. 91-102, 2007.

Shmueli, G., and O. Koppius, "Predictive vs. Explanatory Modeling in IS Research", Conference on Information Systems & Technology (Best Paper Award), Seattle, WA, 03/11/2007.

Shmueli, G., and O. Koppius, "The Challenge of Prediction in Information Systems Research", Working Paper (RHS 06-058) : Smith School of Business, University of Maryland, 2009.

Shmueli, G., and O. Koppius, "The Challenge of Prediction in Information Systems Research", Working Paper RHS 06-152: Smith School of Business, University of Maryland, 2009.

Kenett, R. S., and G. Shmueli, "On Information Quality", Working Paper (RHS 06-100) Smith School of Business, University of Maryland,, 2009.

Shmueli, G., and W. Jank, "Modeling Dynamics in Online Auctions: A Modern Statistical Approach", Economics, Information Systems and Electronic Commerce: Empirical Research, Armonk, NY, M. E. Sharpe, pp. 157-180, 2009.

Shmueli, G., and O. Koppius, "Predictive Analytics in Information Systems Research", ERN Economics of Networks eJournal, vol. 2, issue 56, 2010.

Shmueli, G., and O. Koppius, "Predictive Analytics in Information Systems Research", Working Paper RHS 06-138: Smith School of Business, University of Maryland, 2010.

Lotze, T., G. Shmueli, and I. Yahav, "Simulating and Evaluating Biosurveillance Datasets", Biosurveillance: Methods and Case Studies: Chapman and Hall, 2010. Book Chapter (1.93 MB)

Shmueli, G., and O. Koppius, "What is Predictive about Partial Least Squares?", Sixth Symposium on Statistical Challenges in eCommerce Research (SCECR), University of Texas at Austin, McCombs School of Business, TX, 05/06/2010. Conference Paper (285.09 KB)

Kenett, R. S., and G. Shmueli, "On Information Quality", Working Paper RHS 06-100: Smith School of Business, University of Maryland, 2011.