Bibliography

Found 205 results
Title Type [ Year(Asc)]
Filters: First Letter Of Last Name is S  [Clear All Filters]
2023
Shmueli, G., and A. Tafti, "How to “Improve” Prediction Using Behavior Modification", International Journal on Forecasting, vol. 39, issue 2, pp. 541-555, 2023.
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.
2020
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.
Chatla, S.B., and G. Shmueli, "A Tree-Based Semi-Varying Coefficient Model for the COM-Poisson Distribution", Journal of Computational and Graphical Statistics, vol. 29, issue 4, pp. 827-846, 2020. PDF icon JCGS 2020 Chatla Shmueli Tree based Semi-Varying Coefficient Model for CMP.pdf (4.29 MB)
2019
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., P. C. Bruce, P. Gedeck, and N. R. Patel, Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python, 1, New Jersey, John Wiley & Sons, 2019.
Sharma, P., M. Sarstedt, G. Shmueli, K. H. Kim, and K. O. Thiele, "PLS-based model selection: the role of alternative explanations in information systems research", Journal of the Association for Information Systems, vol. 20, issue 4, 2019.
Sharma, P., M. Sarstedt, G. Shmueli, K. H. Kim, and K. O. Thiele, "PLS-based model selection: the role of alternative explanations in information systems research", Journal of the Association for Information Systems, vol. 20, issue 4, 2019.
Sharma, P., M. Sarstedt, G. Shmueli, K. H. Kim, and K. O. Thiele, "PLS-based model selection: the role of alternative explanations in information systems research", Journal of the Association for Information Systems, vol. 20, issue 4, 2019.
Sharma, P., G. Shmueli, M. Sarstedt, N. Danks, and S. Ray, "Prediction-Oriented Model Selection in Partial Least Squares Path Modeling", Decision Sciences, 2019.
Sharma, P., G. Shmueli, M. Sarstedt, N. Danks, and S. Ray, "Prediction-Oriented Model Selection in Partial Least Squares Path Modeling", Decision Sciences, 2019.
Sharma, P., G. Shmueli, M. Sarstedt, N. Danks, and S. Ray, "Prediction-Oriented Model Selection in Partial Least Squares Path Modeling", Decision Sciences, 2019.
2018
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.
Chatla, S.B., and G. Shmueli, "Efficient estimation of COM–Poisson regression and a generalized additive model", Computational Statistics & Data Analysis, vol. 121, pp. 71–88, 2018.
Shmueli, G., and I. Yahav, "The Forest or the Trees? Tackling Simpson's Paradox with Classification Trees", Production and Operations Management, vol. 27, pp. 696–716, 2018.
2017
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.
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.
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., P. C. Bruce, I. Yahav, N. R. Patel, and K. C. Lichtendahl, Jr., Data Mining for Business Analytics: Concepts, Techniques, and Applications in R, 1, New Jersey, John Wiley & Sons, 2017.

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