Dr. Galit Shmueli
Dr. Galit Shmueli
is the SRITNE Chaired Professor of Data Analytics and Associate Professor of Statistics and Information Systems at the Indian School of Business, Hyderabad. She is also Associate Professor of Statistics in the department of Decision, Operations & Information Technologies at the Smith School of Business, University of Maryland. Dr. Shmueli's research has been published in the statistics, information systems, and marketing literature; she is a co-author of Data Mining for Business Intelligence, Modeling Online Auctions, Statistical Methods in e-Commerce Research, and author of Practical Time Series Forecasting and Practical Acceptance Sampling.
Education:
BA Statistics & Psychology, Haifa University
MSc Statistics, Technion - Israel Institute of Technology
PhD Statistics, Technion - Israel Institute of Technology
Areas of Expertise:
Statistical methodology and data mining for real-world applications
Statistical strategy: empirical modeling in scientific research
eCommerce and online auctions
Models for contemporary data structures
Anomaly detection
Publications:
Practical Time Series Forecasting
Practical Acceptance Sampling
Practical Risk Analysis for Project Planning
Co-author of Data Mining for Business Intelligence
Co-author of Modeling Online Auctions
Co-author of Statistical Methods in e-Commerce Research
Selected Publications:
Shmueli, G. and Koppius, O. R. “Predictive Analytics in Information Systems Research,” MIS Quarterly, Vol. 35(3), 553-572, 2011.
Shmueli, G. “To Explain or To Predict?,” Statistical Science, Vol. 25(3), 289-310, 2010.
Sellers, K. F. and Shmueli, G., “A Flexible Regression Model for Count Data”, Annals of Applied Statistics, Vol. 4(2) 943-961, 2010.
Bapna, R. Jank, W. and Shmueli, G, "Consumer Surplus in Online Auctions," Information Systems Research, Vol. 19(4), 400 – 416, 2008.
Wang, S., Jank, W., Shmueli, G. and Smith,P., "Modeling Price Dynamics in eBay Auctions Using Principal Differential Analysis", Journal of the American Statistical Association, vol. 103, issue 483, pp. 1100-1118, 2008.
Websites links:
Courses:
Acceptance Sampling for Quality Control
Forecasting Analytics
Interactive Data Visualization