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.

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 Edition], : SciTech, 2009.

Yahav, I., and G. Shmueli, "On Generating Multivariate Poisson Data in Management Science Applications", Working Paper RHS 06-085: Smith School of Business, University of Maryland, 2009.

Lotze, T., and G. Shmueli, "How does improved forecasting benefit detection? An application to biosurveillance", International Journal on Forecasting, vol. 25, pp. 467-483, 2009. IJF2009 ForecastingBiosurveillance.pdf (2.19 MB)

Kenett, R. S., and G. Shmueli, "On Information Quality", Working Paper (RHS 06-100) Smith School of Business, University of Maryland,, 2009.

Shmueli, G., and W. Jank, "Modeling Dynamics in Online Auctions: A Modern Statistical Approach", Economics, Information Systems and Electronic Commerce: Empirical Research, Armonk, NY, M. E. Sharpe, pp. 157-180, 2009.

Sellers, K. F., and G. Shmueli, "A Regression Model for Count Data with Observation-Level Dispersion", 24th International Workshop on Statistical Modelling (IWSM), Cornell University, Ithaca, NY, 20/07/2009. SellersAndShmueliForIWSM2009-1.pdf (161.9 KB)

Jank, W., and G. Shmueli, "Studying Heterogeneity of Price Evolution in eBay Auctions Via Functional Clustering", Business Computing, vol. 3: Emerald, pp. 237-261, 2009.

Shmueli, G., "To Explain or To Predict?", Working Paper (RHS 06-099) Smith School of Business, University of Maryland, 2009.

Lin, M., H. C. Lucas, and G. Shmueli, "Too Big to Fail: Larger Samples and False Discoveries", Working Paper RHS 06-068: Smith School of Business, University of Maryland, 2009.

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)

Shmueli, G., N. R. Patel, and P. C. Bruce, Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner [Indian Edition], , 1st edition: Wiley India, 2008.

Lotze, T., and G. Shmueli, "Ensemble Forecasting for Disease Outbreak Detection", 23rd AAAI Conference on Artificial Intelligence (AAAI-08), Chicago, IL, 2008. AAAI7LotzeT.pdf (61 KB)

Wang, S., W. Jank, and G. Shmueli, "Explaining and Forecasting Online Auction Prices and their Dynamics using Functional Data Analysis", Journal of Business and Economic Statistics, vol. 26, issue 3, pp. 144-160, 2008. JBES 2008 PredictingOnlineAuctions.pdf (1.06 MB)

Hyde, V., W. Jank, and G. Shmueli, "A Family of Growth Models for Representing the Price Process in Online Auctions", Statistical Methods in eCommerce Research: John Wiley & Sons, 2008. GrowthModelsFinal.pdf (994.83 KB)

Sellers, K. F., and G. Shmueli, "A Flexible Regression Model for Count Data", Working Paper RHS 06-060: Smith School of Business, University of Maryland, 2008.

Wang, S., W. Jank, G. Shmueli, and P. Smith, "Modeling Price Dynamics in eBay Auctions Using Principal Differential Analysis", Journal of the American Statistical Association (JASA), vol. 103, issue 483, pp. 1100-1118, 2008. JASA 2008 Auctions PDA.pdf (1.06 MB)

Jank, W., G. Shmueli, and S. Wang, "Modeling Price Dynamics in Online Auctions via Regression Trees", Statistical Methods in eCommerce Research: John Wiley & Sons, 2008. DiffEqTrees-Jank-Shmueli-Wang--rev.pdf (402.97 KB)

Russo, R. P., G. Shmueli, and N. D. Shyamalkumar, "Models of Bidder Activity Consistent with Self-Similar Bid Arrivals", Statistical Methods in eCommerce Research: John Wiley & Sons, 2008. RussoShmueliShyamalKumar BidderActivity-revised.pdf (242.37 KB)