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)

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.

Gupta, R., D. Mani, S. Mithas, and G. Shmueli, "Tree Matching Solution for Self-Selection in Impact Surveys", Statistical Challenges in Ecommerce Research (SCECR), Montreal, Canada, 28/06/2012. SCECR 2012 Poster Tree Matching for Self-Selection in Impact Surveys.pdf (807.52 KB)

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)

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)

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

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, "Predicting Potential Survival Rates of Kidney Transplant Candidates From Databases With Existing Allocation Policies", 5th INFORMS Workshop on Data Mining and Healh Informatics, Austin, TX, 05/11/2010. INFORMS 2010 DMHI.pdf (123.33 KB)

Shmueli, G., and K. C. Lichtendahl, Jr., "Practical Time Series Forecasting with R: A Hands-On Guide [Indian Edition]", Practical Analytics: Axelrod Schnall, pp. 208, 2016.

Shmueli, G., and K. C. Lichtendahl, Jr., "Practical Time Series Forecasting with R: A Hands-On Guide [2nd Edition]", Practical Analytics, 2: Axelrod Schnall, 2016.

Shmueli, G., and K. C. Lichtendahl, Jr., "Practical Time Series Forecasting with R: A Hands-On Guide", Practical Analytics: Axelrod Schnall, pp. 208, 2015.

Shmueli, G., "Practical Time Series Forecasting: A Hands-On Guide [Kindle Edition]", Practical Analytics, Kindle Edition: Axelrod Schnall, 2011.

Shmueli, G., "Practical Time Series Forecasting: A Hands-On Guide [Indian Edition]", Practical Analytics: Axelrod Schnall, pp. 208, 2014.

Shmueli, G., and H. Li, "Practical Time Series Forecasting: A Hands-On Guide [Chinese Edition] (时间序列预测实践教程)", Practical Analytics: Tsinghua University Press, 2012.

Shmueli, G., "Practical Time Series Forecasting: A Hands-On Guide [3rd Edition]", Practical Analytics: Axelrod Schnall, 2016.

Shmueli, G., "Practical Time Series Forecasting: A Hands-On Guide [2nd Edition]", Practical Analytics, 2: Axelrod Schnall, pp. 202, 2011.

Shmueli, G., "Practical Time Series Forecasting: A Hands-On Guide", Practical Analytics: Axelrod Schnall, 2011.