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, "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., N. R. Patel, and P. C. Bruce, Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner [Korean 2nd Edition], 2nd: E & B Plus, pp. 480, 2012.

Shmueli, G., P. C. Bruce, P. Gedeck, I. Yahav, and N. R. Patel, Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R, 2, New Jersey, John Wiley & Sons, 2023.

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 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 [3rd Edition]", Practical Analytics: Axelrod Schnall, 2016.

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 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)

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