activity
20122025
most citedDeterminantal point process models and statistical inference : Extended version

238 citations · 274 across the 6 of their papers we have counts for

collaborators

7 papers

stat.ME2025

ROC Curves for Spatial Point Patterns and Presence-Absence Data

Adrian Baddeley, Ege Rubak, Suman Rakshit +1

Receiver Operating Characteristic (ROC) curves have recently been used to evaluate the performance of models for spatial presence-absence or presence-only data. Applications includ…

stat.ME2023

On simulation of continuous determinantal point processes

Frédéric Lavancier, Ege Rubak

We review how to simulate continuous determinantal point processes (DPPs) and improve the current simulation algorithms in several important special cases as well as detail how cer…

stat.ME2018

Resample-smoothing of Voronoi intensity estimators

M. Mehdi Moradi, Ottmar Cronie, Ege Rubak +3

Voronoi intensity estimators, which are non-parametric estimators for intensity functions of point processes, are both parameter-free and adaptive; the intensity estimate at a give…

stat.ME2016★ 2 cited

Determinantal point process models on the sphere

Jesper Møller, Morten Nielsen, Emilio Porcu +1

We consider determinantal point processes on the -dimensional unit sphere . These are finite point processes exhibiting repulsiveness and with moment properties det…

stat.ME2016

Functional summary statistics for point processes on the sphere with an application to determinantal point processes

Jesper Møller, Ege Rubak

We study point processes on , the -dimensional unit sphere , considering both the isotropic and the anisotropic case, and focusing mostly on the spheri…

stat.ME2012★ 34 cited

Score, Pseudo-Score and Residual Diagnostics for Spatial Point Process Models

Adrian Baddeley, Ege Rubak, Jesper Møller

We develop new tools for formal inference and informal model validation in the analysis of spatial point pattern data. The score test is generalized to a "pseudo-score" test derive…