Spatial data

Scalable Spatial Data Science for Social Scientists

Prof. Amr Magdy

Oct 31, 16:30 - 17:30

B4 L5 R5220

data science Spatial data

The proliferation of spatial data from modern and increasingly prevalent technologies has resulted in large datasets, ripe for extracting insightful knowledge that can drive many applications.

Pavel Krupskiy

Postdoctoral Research Fellow, Statistics

copulas Multivariate extremes nonparametric statistics Spatial data

Krupskiy, Pavel Postdoctoral Fellows Ph.D. 2014, University of British Columbia, Canada Now Assistant Professor at University of Melbourne Education Ph.D. in Statistics 2014, University of British Columbia, Canada M.A. in Economics 2009, New Economic School, Russia B.Sc. in Mathematics 2006, Lomonosov Moscow State University, Russia Research interests copulas, multivariate extremes, nonparametric statistics, spatial data