Speaker: Bud Mishra, Professor of Computer Science & Mathematics, NYU
Location: Warren Weaver Hall 1302
Date: February 13, 2009, 11:30 a.m.
Host: Dennis Shasha
In this talk, I will present a model of causality that is based on the work of various philosophers, but primarily by Suppes and Mackie. I will also show how this model lends itself to algorithmic implementation, as it builds upon probabilistic temporal logic (PCTL), model checking (MC), empirical Bayesian approaches to false discovery rate control (FDR), etc. Examples from biology, neuroscience, finance, and web applications will illustrate how we hope to exploit this technology. This is joint work with Samantha Kleinberg.
Refreshments will be offered starting 15 minutes prior to the scheduled start of the talk.