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"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.
Yahav, I., T. Lotze, and G. Shmueli, "Algorithm Combination for Improved Detection in Biosurveillance", Infectious Disease Informatics and Biosurveillance: Integrated Series in Information Systems, 1, vol. 27: Springer, pp. 173-189, 2011. PDF icon 143493_1_En_8_Chapter_OnlinePDF.pdf (1.55 MB)
Yahav, I., and G. Shmueli, "Algorithm Combination for Improved Performance in Biosurveillance Systems", Intelligence and Security Informatics: Biosurveillance, vol. 4506, pp. 91-102, 2007.
Shmueli, G., and A. Cohen, "Algorithms Based on Runs in Statistical Quality Control: Applying Theoretical Results in the New Millennium", Productivity and Quality Management Frontiers, vol. IX: MCB University Press, pp. 354-355, 2000.
Shmueli, G., and A. Cohen, "Analysis and Display of Hierarchical Life-Time Data", The American Statistician, vol. 53, issue 2, pp. 140-146, 1999. PDF icon 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. PDF icon 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. Office spreadsheet icon 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.
Shmueli, G., and O. Koppius, "The Challenge of Prediction in Information Systems Research", Working Paper RHS 06-152: Smith School of Business, University of Maryland, 2009.
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. PDF icon 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. PDF icon IEEE printed version.pdf (326.85 KB)
Minka, T. P., G. Shmueli, J. B. Kadane, S. Borle, and P. Boatwright, "Computing with the COM-Poisson Distribution", Technical Report #776: Dept. of Statistics, Carnegie Mellon University, 2003.
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. PDF icon 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. PDF icon consumerSurplusOnlineAuctionsRevised ISR-2006-181-R2-Final.pdf (486.44 KB)PDF icon Tracking Consumer Savings on eBay — bits.blogs_.nytimes.pdf (84.05 KB)PDF icon Study shows eBay buyers save billions of dollars.pdf (87.47 KB)PDF icon Report_ eBay Sales Prices Wildly Low — www.wired_.pdf (102.03 KB)