Project Details
Projekt
Combining nonparametric statistical and probabilistic approaches for inference on cloud-of-points data (A05)
Subject Area
Mathematics
Term
from 2017 to 2021
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 318763901
This project combines non-parametric statistical and probabilistic approaches for inference on cloud-of-points data. Such data sets are modeled as point processes, which can be embedded into Hilbert spaces using appropriate reproducing kernels. The project will investigate convergence rates for the associated non-parametric estimators and will extend available results to non-standard probabilistic point process models, such as Gibbsian point processes and point processes over space-time processes, e.g., "clouds of trajectories".
DFG Programme
Collaborative Research Centres
Applicant Institution
Universität Potsdam
Project Heads
Professor Dr. Gilles Blanchard; Professorin Dr. Sylvie Roelly
