Bibliography

Found 19 results
[ Title(Desc)] Type Year
Filters: Author is Yahav, I.  [Clear All Filters]
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A
Yahav, I., T. Lotze, and G. Shmueli, "Algorithm Combination for Improved Detection in Biosurveillance", Infectious Disease Informatics and Biosurveillance: Integrated Series in Information Systems, 1, vol. 27: Springer, pp. 173-189, 2011. PDF icon 143493_1_En_8_Chapter_OnlinePDF.pdf (1.55 MB)
Yahav, I., and G. Shmueli, "Algorithm Combination for Improved Performance in Biosurveillance Systems", Intelligence and Security Informatics: Biosurveillance, vol. 4506, pp. 91-102, 2007.
E
Yahav, I., and G. Shmueli, An Elegant Method for Generating Multivariate Poisson Data, 10/2007.
Yahav, I., and G. Shmueli, "Evaluating Directionally-Sensitive Multivariate Control Charts with an Application to Biosurvelliance", Quality and Reliability Engineering International, vol. 30, issue 2, pp. 159-179, 2014. PDF icon Manuscript (732.57 KB)
Yahav, I., and G. Shmueli, "Evaluating Directionally-Sensitive Multivariate Control Charts with an Application to Biosurveillance", Working Paper RHS 06-059: Smith School of Business, University of Maryland, 2007.
G
Yahav, I., and G. Shmueli, "On Generating Multivariate Poisson Data in Management Science Applications", Working Paper RHS 06-085: Smith School of Business, University of Maryland, 2009.
Yahav, I., and G. Shmueli, "On Generating Multivariate Poisson Data in Management Science Applications", Applied Stochastic Models in Business and Industry, vol. 28, issue 1, pp. 91-102, 2012. PDF icon Multivariate-Poisson ASMBI 2012.pdf (1.52 MB)
P
Yahav, I., and G. Shmueli, "Predicting Potential Survival Rates of Kidney Transplant Candidates From Databases With Existing Allocation Policies", 5th INFORMS Workshop on Data Mining and Healh Informatics, Austin, TX, 05/11/2010. PDF icon INFORMS 2010 DMHI.pdf (123.33 KB)
S
Lotze, T., G. Shmueli, and I. Yahav, "Simulating and Evaluating Biosurveillance Datasets", Biosurveillance: Methods and Case Studies: Chapman and Hall, 2010. PDF icon Book Chapter (1.93 MB)
Shmueli, G., T. Lotze, and I. Yahav, "Simulating Multivariate Syndromic Time Series and Outbreak Signatures", Working Paper RHS-06-054: Smith School of Business, University of Maryland, 2007.
Jank, W., G. Shmueli, M. Dass, I. Yahav, and S. Zhang, "Statistical Challenges in eCommerce: Modeling Dynamic and Networked Data", Tutorials in Operations Research: INFORMS, 2008. PDF icon INFORMS Tutorials-2008-CD-chapter03.pdf (711.96 KB)