Title: Overview of anisotropic point pattern statistics
Authors: Tuomas Rajala - University College London (United Kingdom) [presenting]
Abstract: Spatial point pattern data describe the locations of events in space. Analysis of such data usually relies on the assumptions of stationarity and isotropy of the underlying random mechanism. Non-stationary extensions of basic statistical tools have been under active development for a few decades now, but anisotropic tools are scarce. We will take look at what is currently available.