Title: Likelihood and Algebraic Maps for Stochastic Biochemical Network Models
Speaker: Professor Greg Rempala, Deputy Director, MBI, and Professor of Biostatistics, OSU College of Public Health
Seminar Type: Colloquium
Abstract: Stochastic models of biochemical reactions are essential building blocks of modern systems molecular biology. However, the formal analysis of such models is challenging as it requires one to reverse engineer the form of a system of stochastic equations from the set of trajectory points. Statistically (at least from the usual empirical process point of view) this problem is not well posed. The talk will describe another approach to the problem which uses algebraic geometric considerations to identify the most likely systems of biochemical reactions that lead to given trajectories. The presentation will be (relatively) non-technical and intended for a general mathematical audience.