Three challenges confronting spatiotemporal Hawkes models

Friday, September 24, 2021 - 2:00pm to 3:00pm
Location: 
Virtual via Zoom

Speaker

Andrew Holbrook
Assistant Professor of Biostatistics
Fielding School of Public Health
UCLA

Abstract

Hawkes processes are useful for modeling self-exciting phenomena such as earthquakes, wildfires, gun violence, viral outbreaks and social network activity. Unsurprisingly, the stochastic process models are the subject of intense interest within the data science community. Dr. Holbrook will share big picture lessons learned applying spatiotemporal Hawkes processes to the analysis of gunfire, wildfire and Ebola virus data. In particular, three barriers stand in the way of the application of Hawkes models within meaningful 21st century science: (1) big data, (2) spatial data precision and (3) big models.

Description

Statistics Seminar
Wednesday, September 24
2:00pm MST/AZ
Virtual via Zoom: https://asu.zoom.us/j/88521538236?pwd=K1VscVlWTmFnN0tsRHlrWG8rT0Nhdz09

share:


Event Type

COVID 19 Information

COVID-19 information
Success