Learning Connectivity Networks from High-Dimensional Point Processes; By Ali Shojaie, Associate Professor of Biostatistics, Department of Biostatistics University of Washington Seattle, WA

Abstract:

High-dimensional point processes have become ubiquitous in many scientific fields. For instance, neuroscientists use calcium florescent imaging to monitor the firing of thousands of neurons in live animals. In this talk, I will discuss new methodological, computational and theoretical developments for learning neuronal connectivity networks from high-dimensional point processes. Time permitting, I will also discuss a new approach for handling non-stationarity in high-dimensional time series.

Website: http://faculty.washington.edu/ashojaie/