point processes

Point processes and their application to modeling drug seizure and overdose interactions

Prof. George Mohler, Computer Science, Boston College

Feb 8, 17:00 - 18:00

KAUST

point processes stochastic models

In this talk we first provide an introduction to point processes, which are stochastic models for the occurrence of events in space and time. We then discuss the application of point processes to investigate the relationship between law enforcement drug seizures and accidental overdoses in Indianapolis. We will also discuss results from a field-experiment in Indianapolis where point process based harm indices were used to inform the distribution of addiction treatment information.

Paula Moraga

Associate Professor, Statistics

Spatial and spatio-temporal statistics geospatial modeling Spatial epidemiology Bayesian disease mapping point processes Public health surveillance

Dr. Moraga develops innovative statistical methods and computational tools for geospatial data analysis and health surveillance. The impact of her work has directly informed strategic policy in reducing the burden of diseases such as malaria and cancer in several countries.

Hans Montcho

Postdoctoral Research Fellow, Statistics

Bayesian computational statistics cross validation point processes statistics Bayesian deep learning

Hans Montcho is a Post-doctoral fellow in the Bayesian Deep Learning Group.