"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)

Kadane, J. B., R. Krishnan, and G. Shmueli, "A Data Disclosure Policy for Count Data Based on the COM-Poisson Distribution", Management Science, vol. 52, issue 10, pp. 1610-1617, 2006. Manuscript (136.11 KB)

Sellers, K. F., and G. Shmueli, "Data Dispersion: Now You See it... Now You Don't", Communications in Statistics: Theory and Methods, vol. 42, issue 17, pp. 2434-2447, 2013. SubmittedRevision.pdf (261.2 KB)

Goldenberg, A., G. Shmueli, R. A. Caruana, and S. E. Fienberg, "Early Statistical Detection of Anthrax Outbreaks by Tracking Over-the-Counter Medication Sales", Proceeding of the National Academy of Sciences, vol. 99, issue 8, pp. 5237-5240, 2002.

Borle, S., P. Boatwright, J. B. Kadane, J. C. Nunes, and G. Shmueli, "The Effect of Product Assortment Changes on Customer Retention", Marketing Science, vol. 24, issue 4, pp. 616-622, 2005. SSRN-id991959.pdf (102.3 KB)