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In Press
Shmueli, G., Burkom, H.S., "Statistical Challenges Facing Early Outbreak Detection in Biosurveillance", Technometrics (Special Issue on Anomaly Detection), In Press  . Abstract    Download:  Technometrics StatChallengesBiosurveillanceRevised-II.pdf  StatChallengesBiosurveillanceRevised-III.pdf 
2007
Burkom, H.S., Murphy, S.P., Shmueli, G., "Automated Time Series Forecasting for Biosurveillance", Statistics in Medicine, vol. 26, issue 22, pp. 4202-4218, 2007  .
2006
Lotze, T., Shmueli, G., Murphy, S., Burkom, H., "A Wavelet-based Anomaly Detector for Early Detection of Disease Outbreaks", Proceedings of the 23rd International Conference on Machine Learning (ICML), Workshop on Machine Learning Algorithms for Surveillance and Event Detection, Pittsburgh, PA, 2006  . Abstract
Murphy, S. P., Burkom, H. B., Shmueli, G., "Data Adaptive Multivariate Control Charts for Routine Health Monitoring", Syndromic Surveillance Conference (in Advances in Disease Surveillance, 1:53), 2006  .

Contact

Galit Shmuéli
Associate Professor of Statistics
Dept of Decision, Operations & Information Technologies
4361 Van Munching Hall
Smith School of Business
University of Maryland
College Park, MD 20742

Phone: 301-405-9679
Fax: 301-405-8655
gshmueli@rhsmith.umd.edu

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