4th Annual Probability and Statistics Day at UMBC
&
Silver Jubilee Celebration of Statistics Graduate Program at UMBC

FUNDED BY NATIONAL SECURITY AGENCY
Department of Mathematics and Statistics
University of Maryland, Baltimore County
Friday, April 23, 2010
Saturday, April 24, 2010

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Workshop on Adversarial Risk Analysis
Friday, April 23, 2010
9:00 am - 12:30 pm
7th floor, UMBC Library

Registration is required! Click here to register.
For a copy of the workshop flier, click here.

Instructor: Professor David Banks, Duke University

Abstract: Many modern applications, such as counterterrorism, corporate competition, and federal regulation, can be viewed as multiparty games in which the outcomes are uncertain. Such cases are not well-handled by classical statistical risk analysis (which ignores the adversarial aspect) nor by traditional game theory (which assumes that the payoffs to all parties for a given set of choices are known). This workshop addresses such problems, in which the solution requires that an actor "mirror" the thinking of the other actors in order to make their decisions.

The workshop approaches the problem broadly, including issues of elicitation and the problem of validating complex computer models---both of these are components in the risk analysis methodology used at the Department of Homeland Security. We also discuss auctions and the psychology of betting. But the main motivating example is counterterrorism, and much of the research pertains to work done as part of a recent National Academies panel review of DHS risk management methodology.



Workshop on Statistical Meta-Analysis with Applications
Friday, April 23, 2010
2:30 pm - 5:30 pm
7th floor, UMBC Library

Registration is required! Click here to register.
For a copy of the workshop flier, click here.

Instructor: Professor Guido Knapp, Technical University, Dortmund, Germany

Abstract: This workshop will provide a state of the art statistical techniques which are required to carry out data synthesis in the most efficient manner. Theoretical basis for meta-analysis as well as several applications will be explained.


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