Mani, D., and G. Shmueli, Impact Assessment in Observational Studies: A Classification and Regression Tree Approach: Indian School of Business, 2013.

Shmueli, G., R. Saha, and R. Gupta, "Industry-academia partnerships", ORMS Today (INFORMS Magazine), issue August, pp. 32-34, 2013. Industry-Academia Partnerships ORMS Today Aug 2013.pdf (1.59 MB)

Shmueli, G., R. Saha, and R. Gupta, "Industry-academia partnerships", ORMS Today (INFORMS Magazine), issue August, pp. 32-34, 2013. Industry-Academia Partnerships ORMS Today Aug 2013.pdf (1.59 MB)

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

Kenett, R. S., and G. Shmueli, "On Information Quality", JRSS A, vol. 177, issue 1, pp. 3-27, 2014. Kenett Shumeli JRSSA 2014.pdf (689.6 KB)

Kenett, R. S., and G. Shmueli, "On Information Quality", Working Paper RHS 06-100: Smith School of Business, University of Maryland, 2011.

Shmueli, G., and R. S. Kenett, "An Information Quality (InfoQ) Framework for Ex-Ante and Ex-Post Evaluation of Empirical Studies", Intelligent Data Analysis and Management (IDAM), Kaohsiung, Taiwan, 09/09/2013. InfoQ_IDAM_2013.pdf (179.21 KB)

Shmueli, G., and R. S. Kenett, "An Information Quality (InfoQ) Framework for Ex-Ante and Ex-Post Evaluation of Empirical Studies", The 3rd International Workshop on Intelligent Data Analysis and Management (IDAM), Kaohsiung, Taiwan, Springer Verlag, pp. 1-13, 11/09/2013. InfoQ_IDAM_2013.pdf (179.21 KB)

Kenett, R. S., and G. Shmueli, Information Quality: The Potential of Data and Analytics to Generate Knowledge: John Wiley & Sons, pp. 384, 2016.

Hyde, V., W. Jank, and G. Shmueli, "Investigating Concurrency in Online Auctions Through Visualization", The American Statistician, vol. 60, issue 3, pp. 241-250, 2006.

Shmueli, G., P. C. Bruce, A. K. Deokar, and N. R. Patel, Machine Learning for Business Analytics: Concepts, Techniques, and Applications in RapidMiner, 1: John Wiley & Sons, 2023.

Shmueli, G., P. C. Bruce, P. Gedeck, I. Yahav, and N. R. Patel, Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R, 2, New Jersey, John Wiley & Sons, 2023.

Dass, M., W. Jank, and G. Shmueli, "Maximizing Bidder Surplus in Simultaneous Online Art Auctions via Dynamic Forecasting", International Journal on Forecasting, vol. 27, issue 4, pp. 1259-1270, 2011.

Shmueli, G., W. Jank, and R. Bapna, "Measuring Consumer Surplus on eBay: An Empirical Study", Working Paper RHS-06-053: Smith School of Business, University of Maryland, 2007.

Shmueli, G., R. P. Russo, and W. Jank, "Modeling Bid Arrivals in Online Auctions", Working paper, RHS-06-001: Smith School of Business, University of Maryland, 2004.

Sur, P., G. Shmueli, S. Bose, and P. Dubey, "Modeling Bimodal Discrete Data Using Conway-Maxwell-Poisson Mixture Models", ArXiv (Stat): Indian School of Business and Indian Statistical Institute, 2013.

Sur, P., G. Shmueli, S. Bose, and P. Dubey, "Modeling Bimodal Discrete Data Using Conway-Maxwell-Poisson Mixture Models", ArXiv (Stat): Indian School of Business and Indian Statistical Institute, 2013.

Sur, P., G. Shmueli, S. Bose, and P. Dubey, "Modeling Bimodal Discrete Data Using Conway-Maxwell-Poisson Mixture Models", Journal of Business & Economic Statistics, vol. 33, issue 3, pp. 352-365, 2015. CMP_Mixture_Final_Unblinded.pdf (1.62 MB)

Sur, P., G. Shmueli, S. Bose, and P. Dubey, "Modeling Bimodal Discrete Data Using Conway-Maxwell-Poisson Mixture Models", Journal of Business & Economic Statistics, vol. 33, issue 3, pp. 352-365, 2015. CMP_Mixture_Final_Unblinded.pdf (1.62 MB)

Jank, W., and G. Shmueli, "Modeling Concurrency of Events in Online Auctions via Spatio-Temporal Semiparametric Models", Journal of The Royal Statistical Society, Series C (Applied Statistics), vol. 60, issue 1, pp. 1-27, 2007.