Kernel methods for spatiotemporal learning with public policy applications

Kernel methods for spatiotemporal learning with public policy applications

Neyman Seminar
Jan 18, 2017, 04:00 PM - 05:00 PM | 1011 Evans Hall | Happening As Scheduled
Seth Flaxman, Department of Statistics, Oxford
In this talk I will highlight the statistical machine learning methods that I am developing, in response to the needs of my social science collaborators, to address public policy questions. My research focuses on flexible nonparametric modeling approaches for spatiotemporal data and scalable inference methods to be able to fit these models to large datasets. Most critically, my models and...