Spatial point patterns are data sets which contain the spatial location of events. Standard likelihood based methods for estimation and inference are unavailable for many types of spatial point processes. This project involves developing parametric hypothesis test for marked clustered point processes using composite likelihood methods.
Supervisors
Primary Supervisor: Bethany Macdonald
Does the project come with funding
No - Student must be self-funded
Final date for receiving applications
Ongoing
How to apply
Apply by email to primary supervisor
Keywords
spatial point patterns
