Bibliography

Found 157 results
Title Type [ Year(Asc)]
2011
Shmueli, G., "Practical Time Series Forecasting: A Hands-On Guide [Kindle Edition]", Practical Analytics, Kindle Edition: Axelrod Schnall, 2011.
Shmueli, G., and O. Koppius, "Predictive Analytics in Information Systems Research", MIS Quarterly, vol. 35, issue 3, pp. 553-572, 2011. PDF icon MISQ-Predictive-Analytics-in-IS-Shmueli-Koppius -2011.pdf (303.74 KB)
2010
Sellers, K. F., and G. Shmueli, "Data Dispersion: Now You See it... Now You Don't", Working Paper RHS 06-122: Smith School of Business, University of Maryland, 2010.
Shmueli, G., N. R. Patel, and P. C. Bruce, Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner, , 2, New Jersey, John Wiley & Sons, 2010.
Dass, M., W. Jank, and G. Shmueli, "Dynamic Price Forecasting In Simultaneous Online Art Auctions", Marketing Intelligent Systems Using Soft Computing: Managerial and Research Applications, no. 258: Springer, pp. 417-445, 2010. PDF icon Casillas Martinez-Lopez 2010 book chapter.pdf (1.74 MB)
Jank, W., G. Shmueli, and S. Zhang, "A Flexible Model for Estimating Price Dynamics in Online Auctions", JRSS C, vol. 59, issue 5, pp. 781-804, 2010. PDF icon JRSSC_2010.pdf (852.14 KB)
Sellers, K. F., and G. Shmueli, "A Flexible Regression Model for Count Data", Annals of Applied Statistics, vol. 4, issue 2, pp. 943-961, 2010. PDF icon Supplementary Materials (126.65 KB)PDF icon AOAS COM-Regression.pdf (405.74 KB)
Jank, W., and G. Shmueli, "Forecasting Online Auctions using Dynamic Models", Data Mining for Business Applications, no. 218: IOS Press, pp. 137-148, 2010. PDF icon IOS-BookChapter-Jank & Shmueli.pdf (102.47 KB)
Jank, W., and G. Shmueli, "Modeling Online Auctions", Statistics in Practice: John Wiley & Sons, 2010.
Russo, R. P., G. Shmueli, W. Jank, and N. D. Shyamalkumar, "Models For Bid Arrivals and Bidder Arrivals in Online Auctions", Methods and Applications of Statistics in Business, Finance and Management Sciences, Newark, NJ, John Wiley & Sons, pp. 293-309, 2010. PDF icon FinanceHandbookShmueli.pdf (445.99 KB)
Sellers, K. F., and G. Shmueli, "Predicting Censored Count Data with COM-Poisson Regression", Working Paper RHS 06-129: Smith School of Business, University of Maryland, 2010.
Yahav, I., and G. Shmueli, "Predicting Potential Survival Rates of Kidney Transplant Candidates From Databases With Existing Allocation Policies", 5th INFORMS Workshop on Data Mining and Healh Informatics, Austin, TX, 05/11/2010. PDF icon INFORMS 2010 DMHI.pdf (123.33 KB)
Shmueli, G., and O. Koppius, "Predictive Analytics in Information Systems Research", ERN Economics of Networks eJournal, vol. 2, issue 56, 2010.
Shmueli, G., and O. Koppius, "Predictive Analytics in Information Systems Research", Working Paper RHS 06-138: Smith School of Business, University of Maryland, 2010.
Zhang, S., W. Jank, and G. Shmueli, "Real-Time Forecasting of Online Auctions via Functional K-Nearest Neighbors", International Journal of Forecasting, vol. 26, pp. 666-683, 2010. PDF icon IJF 2010 Realtime forecasting auctions fKNN.pdf (478.32 KB)
Lotze, T., G. Shmueli, and I. Yahav, "Simulating and Evaluating Biosurveillance Datasets", Biosurveillance: Methods and Case Studies: Chapman and Hall, 2010. PDF icon Book Chapter (1.93 MB)
Shmueli, G., and H. S. Burkom, "Statistical Challenges Facing Early Outbreak Detection in Biosurveillance", Technometrics (Special Issue on Anomaly Detection), vol. 52, issue 1, pp. 39-51, 2010. PDF icon Previous version ("Statistical Challenges in Modern Biosurveillance") (381.03 KB)PDF icon Published Version (751.05 KB)
Shmueli, G., "To Explain or To Predict?", Statistical Science, vol. 25, issue 3, pp. 289-310, 2010. PDF icon Stat Science published.pdf (293.36 KB)
Dillard, B. L., and G. Shmueli, "Wavelet-Based Monitoring for Disease Outbreaks and Bioterrorism: Methods and Challenges", InterStat, vol. 3, issue March, 2010.
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. PDF icon Conference Paper (285.09 KB)

Pages