About
Galit Shmuéli is SRITNE Chaired Professor of Data Analytics and Associate Professor of Statistics & Information Systems at the Indian School of Business.
Work in Bhutan
I co-direct the Centre for Advanced Learning Technologies at the Rigsum Institute of IT & Management. We train faculty, instruct workshops on decision making and technology for the government, corporate and private sectors, and implement technological projects for education institutions in the Kingdom.
Uncensored News
- Online course "Acceptance Sampling" opens this Friday (Apr 20, 2012) (April 19, 2012)
- Keynote "De-Mystifying Predictive Analytics" @ ReTechCon (Mumbai, May 17-18) (April 12, 2012)
- "Testing Theories with Big Data: A Super-Power Approach" @ SCECR 2012 (April 3, 2012)
- Effective Data Presentation Workshop @ Royal Institute of Health Sciences (April 3, 2012)
Research Highlight:
To Explain or To Predict?
My research examines the fundamental and practical differences between using statistical and other empirical methods for prediction compared to causal explanation and to description. Although the discussion of explanation vs. predictions has been actively pursued in the philosophy of science, the statistics literature has not considered it in a holistic way.
Asia Analytics Blog
Books
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Practical Acceptance Sampling [2nd Edition], CreateSpace, 2011 | [Buy] |
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Practical Risk Analysis, CreateSpace, 2011 | [Buy] |
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Practical Time Series Forecasting [2nd Edition], CreateSpace, 2011 | [Buy] |
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Modeling Online Auctions, Wiley, 2010 | [Buy] |
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Data Mining for Business Intelligence [2nd Edition], Wiley, 2010 | [Buy] |
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Data Mining for Business Intelligence [Korean Edition], SciTech, 2009 | [Buy] |
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Statistical Methods in eCommerce Research, Wiley, 2008 | [Buy] |
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Data Mining for Business Intelligence [Indian Edition], Wiley India, 2008 | [Buy] |
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Data Mining for Business Intelligence [1st Edition], Wiley, 2006 | [Buy] |
Recent Papers
- Data Dispersion: Now You See it... Now You Don't In Press
- The COM-Poisson Model for Count Data: A Survey of Methods and Applications 2012
- Rejoinder: The COM-Poisson Model for count data: A survey of methods and applications 2012
- Review of "Fundamentals of Clinical Trials, 4th edition" by Friedman, Furberg, and Demets 2012
- On Generating Multivariate Poisson Data in Management Science Applications 2012
- Maximizing Bidder Surplus in Simultaneous Online Art Auctions via Dynamic Forecasting 2011
- Outcomes Matter: Estimating Pre-Transplant Survival Rates of Kidney-Transplant Patients Using Simulation-Based Propensity Scores 2011
- On Information Quality 2011
- Algorithm Combination for Improved Detection in Biosurveillance 2011
- Predictive Analytics in Information Systems Research 2011