Buono, P., C. Plaisant, A. Simeone, A. Aris, B. Shneiderman, G. Shmueli, and W. Jank, "Similarity-Based Forecasting with Simultaneous Previews: A River Plot Interface for Time Series Forecasting", 11th Intl Conference on Information Visualization (InfoViz), Zurich, Switzerland, 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)

Lotze, T., G. Shmueli, S. Murphy, and H. S. Burkom, "A Wavelet-based Anomaly Detector for Early Detection of Disease Outbreaks", Proceedings of the 23rd International Conference on Machine Learning (ICML), Workshop on Machine Learning Algorithms for Surveillance and Event Detection, Pittsburgh, PA, 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)

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

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

Shmueli, G., and A. Cohen, "Analysis and Display of Hierarchical Life-Time Data", The American Statistician, vol. 53, issue 2, pp. 140-146, 1999. AMSTAT print version.pdf (504.85 KB)

Shmueli, G., "Analyzing Behavioral Big Data: Methodological, Practical, Ethical, and Moral Issues", Quality Engineering, vol. 29, issue 1, pp. 57-74 and 88-90, 2017.

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.

Burkom, H. S., S. Murphy, and G. Shmueli, "Automated Time Series Forecasting for Biosurveillance", Statistics in Medicine, vol. 26, issue 22, pp. 4202-4218, 2007. AutomatedForecasting BurkomMurphyShmueli print version.pdf (549.87 KB)

Shmueli, G., R. P. Russo, and W. Jank, "The BARISTA: A Model for Bid Arrivals in Online Auctions", Annals of Applied Statistics, vol. 1, issue 2, pp. 412-441, 2007. BARISTA datasets.xls (1.23 MB)

Tafti, A., and G. Shmueli, "Beyond Overall Treatment Effects: Leveraging Covariates in Randomized Experiments Guided by Causal Structure", Information Systems Research, vol. 31, issue 4, pp. 1183–1199, 2020.

Zhu, L., K. F. Sellers, D. S. Morris, and G. Shmueli, "Bridging the Gap: A Generalized Stochastic Process For Count Data", The American Statistician, vol. 71, issue 1, pp. 71-80, 2017.

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.

"Clarifying the terminology that describes scientific reproducibility", Nature Methods, vol. 12, issue 8, pp. 699, 2015. Kenett Shmueli nmeth 8 2015.pdf (994.33 KB)

Fienberg, S. E., and G. Shmueli, "Comment on "A Bayesian Dynamic Model for Influenza Surveillance" by Sebastiani, Mandl, Szolovits, Kohane, and Ramoni", Statistics in Medicine, vol. 25, issue 11, pp. 1821-1822, 2006.

Sellers, K. F., S. Borle, and G. Shmueli, "The COM-Poisson Model for Count Data: A Survey of Methods and Applications", Applied Stochastic Models in Business and Industry, vol. 28, issue 2, pp. 104-116, 2012. COM-Poisson Survey (581.27 KB)

Shmueli, G., "Computing Consecutive-Type Reliabilities Non-Recursively", IEEE Transactions on Reliability, vol. 52, issue 3, pp. 367-372, 2003. IEEE printed version.pdf (326.85 KB)

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)

Bapna, R., W. Jank, and G. Shmueli, "Consumer Surplus in Online Auctions", Informations Systems Research, vol. 19, issue 4, pp. 400-416, 12/2008. consumerSurplusOnlineAuctionsRevised ISR-2006-181-R2-Final.pdf (486.44 KB) Tracking Consumer Savings on eBay — bits.blogs_.nytimes.pdf (84.05 KB) Study shows eBay buyers save billions of dollars.pdf (87.47 KB) Report_ eBay Sales Prices Wildly Low — www.wired_.pdf (102.03 KB)