MTB Group Seminar Series: Efficient scientific inference using stochastic dynamical systems

Date: Fri, May 21 2021

Hour: 16:00

Speakers: Aaron King


Questions about the mechanistic operation of biological systems are naturally formulated as stochastic processes, but confronting such models with data can be challenging. In this talk, I describe the essence of the difficulty, highlighting both the technical issues and the importance of the "plug-and-play property". I then illustrate some effective approaches to efficient inference based on such models. I conclude by sketching promising new developments and describing some open problems.

Link to the session:


University of Michigan

Confirmed speakers:

Aaron King