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.

Yahav, I., and G. Shmueli, An Elegant Method for Generating Multivariate Poisson Data, 10/2007.

Shmueli, G., S. Ray, J. M. Velasqu Estrada, and S.B. Chatla, "The elephant in the room: Predictive performance of PLS models", Journal of Business Research, vol. 69, issue 10, pp. 4552–4564, 2016.

Lotze, T., and G. Shmueli, "Ensemble Forecasting for Disease Outbreak Detection", 23rd AAAI Conference on Artificial Intelligence (AAAI-08), Chicago, IL, 2008. AAAI7LotzeT.pdf (61 KB)

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)

Yahav, I., and G. Shmueli, "Evaluating Directionally-Sensitive Multivariate Control Charts with an Application to Biosurveillance", Working Paper RHS 06-059: Smith School of Business, University of Maryland, 2007.

Wang, S., W. Jank, and G. Shmueli, "Explaining and Forecasting Online Auction Prices and their Dynamics using Functional Data Analysis", Journal of Business and Economic Statistics, vol. 26, issue 3, pp. 144-160, 2008. JBES 2008 PredictingOnlineAuctions.pdf (1.06 MB)

Shmueli, G., W. Jank, A. Aris, C. Plaisant, and B. Shneiderman, "Exploring Auction Databases through Interactive Visualization", Decision Support Systems, vol. 42, issue 3, pp. 1521-1538, 2006. DSS AuctionExplorer PrintVersion.pdf (1.68 MB)

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.

Hyde, V., W. Jank, and G. Shmueli, "A Family of Growth Models for Representing the Price Evolution in Online Auctions", 9th Intl Conference on Electronic Commerce, Minneapolis, MA, 2007.

Hyde, V., W. Jank, and G. Shmueli, "A Family of Growth Models for Representing the Price Process in Online Auctions", Statistical Methods in eCommerce Research: John Wiley & Sons, 2008. GrowthModelsFinal.pdf (994.83 KB)

Bose, S., G. Shmueli, P. Sur, and P. Dubey, "Fitting COM-Poisson Mixtures to Bimodal Count Data", 1st International Conference on Information, Operations Management and Statistics (ICIOMS), Kuala Lumpur, Malaysia, 01/09/2013. ICIOMS 2013 Malaysia Paper ID 28.pdf (513.9 KB)

Jank, W., G. Shmueli, and S. Zhang, "A Flexible Model for Estimating Price Dynamics in Online Auctions", JRSS C, vol. 59, issue 5, pp. 781-804, 2010. JRSSC_2010.pdf (852.14 KB)

Sellers, K. F., and G. Shmueli, "A Flexible Regression Model for Count Data", Working Paper RHS 06-060: Smith School of Business, University of Maryland, 2008.

Sellers, K. F., and G. Shmueli, "A Flexible Regression Model for Count Data", Annals of Applied Statistics, vol. 4, issue 2, pp. 943-961, 2010. Supplementary Materials (126.65 KB) AOAS COM-Regression.pdf (405.74 KB)

Jank, W., and G. Shmueli, "Forecasting Online Auctions using Dynamic Models", Data Mining for Business Applications, no. 218: IOS Press, pp. 137-148, 2010. IOS-BookChapter-Jank & Shmueli.pdf (102.47 KB)

Shmueli, G., and I. Yahav, The Forest or the Trees? Tackling Simpson's Paradox with Classification and Regression Trees: Indian School of Business, 2014.

Shmueli, G., and I. Yahav, "The Forest or the Trees? Tackling Simpson's Paradox with Classification Trees", Production and Operations Management, vol. 27, pp. 696–716, 2018.

Kenett, R. S., and G. Shmueli, From Quality to Information Quality in Official Statistics: Indian School of Business, 04/2014.

Kenett, R. S., and G. Shmueli, "From Quality to Information Quality in Official Statistics", Journal of Official Statistics, vol. 32, issue 4, pp. 1–19, 2016.