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

Mani, D., and G. Shmueli, Impact Assessment in Observational Studies: A Classification and Regression Tree Approach: Indian School of Business, 2013.

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., R. Saha, and R. Gupta, "Industry-academia partnerships", ORMS Today (INFORMS Magazine), issue August, pp. 32-34, 2013. Industry-Academia Partnerships ORMS Today Aug 2013.pdf (1.59 MB)

Yahav, I., G. Shmueli, and D. Mani, "A Tree-Based Approach for Addressing Self-Selection in Impact Studies with Big Data", MIS Quarterly, vol. 40, issue 4, pp. 819-848, 2016.

Yahav, I., G. Shmueli, and D. Mani, "A Tree-Based Approach for Addressing Self-Selection in Impact Studies with Big Data", MIS Quarterly, vol. 40, issue 4, pp. 819-848, 2016.

Shmueli, G., "To Explain or To Predict?", Working Paper (RHS 06-099) Smith School of Business, University of Maryland, 2009.

Shmueli, G., "To Explain or To Predict?", Statistical Science, vol. 25, issue 3, pp. 289-310, 2010. Stat Science published.pdf (293.36 KB)

Zhang, S., W. Jank, and G. Shmueli, "Real-Time Forecasting of Online Auctions via Functional K-Nearest Neighbors", International Journal of Forecasting, vol. 26, pp. 666-683, 2010. IJF 2010 Realtime forecasting auctions fKNN.pdf (478.32 KB)

Shmueli, G., and O. Koppius, "Predictive Analytics in Information Systems Research", MIS Quarterly, vol. 35, issue 3, pp. 553-572, 2011. MISQ-Predictive-Analytics-in-IS-Shmueli-Koppius -2011.pdf (303.74 KB)

Yahav, I., and G. Shmueli, "Outcomes matter: estimating pre-transplant survival rates of kidney-transplant patients using simulator-based propensity scores", Annals of Operations Research, vol. 216, issue 1, pp. 101-128, 2014. lifetime_r2.pdf (924.59 KB)

Dass, M., W. Jank, and G. Shmueli, "Maximizing Bidder Surplus in Simultaneous Online Art Auctions via Dynamic Forecasting", International Journal on Forecasting, vol. 27, issue 4, pp. 1259-1270, 2011.

Kenett, R. S., and G. Shmueli, "On Information Quality", JRSS A, vol. 177, issue 1, pp. 3-27, 2014. Kenett Shumeli JRSSA 2014.pdf (689.6 KB)

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.

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.

Ashouri, M., K. Cai, FR. Lin, and G. Shmueli, "Assessing the Value of an Information System for Developing Predictive Analytics: The Case of Forecasting School-Level Demand in Taiwan", Service Science, vol. 10, pp. 58–75, 2018.

Greene, T., G. Shmueli, S. Ray, and J. Fell, "Adjusting to the GDPR: The Impact on Data Scientists and Behavioral Researchers", Big data, 2019.

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

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)

Shmueli, G., and C. Soares, "Teaching Data Mining in the Business School: Experience from Three Continents", Teaching Machine Learning Workshop, ICML, Edinburgh, Scotland, UK, June 2012. ICML 2012 Teaching BS vs CS.pdf (413.83 KB)