When

Start: 02/16/2012 - 4:15pm

End : 02/16/2012 - 4:15pm

End : 02/16/2012 - 4:15pm

Category

Statistics/OR/Math Finance Seminar

Speaker

Austen Head

Abstract

Data often come in the form of values on vertices which are embedded in multiple different networks. For an example from epidemiology, we may know who is infected with a disease currently and who was infected at a previous time point. If we know the networks in which these individuals are embedded (e.g., a friendship network, group memberships, and any number of other networks), we may want to predict along which of these networks the disease propagated most and also which individuals are most at risk for becoming infected. We present a simple method to restructure vertex valued multi-network data into a framework that allows for the use of standard statistical prediction and data exploration tools.

Where

Davidson Lecture Hall, Claremont McKenna College

Misc. Information

Austen Head's website:

http://www-stat.stanford.edu/~ahead/