160 citations · 340 across the 7 of their papers we have counts for
7 papers
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…
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…
The Spatial Structure of Young Stellar Clusters. I. Subclusters
Michael A. Kuhn, Eric D. Feigelson, Konstantin V. Getman +9
The clusters of young stars in massive star-forming regions show a wide range of sizes, morphologies, and numbers of stars. Their highly subclustered structures are revealed by the…
Overview of the Massive Young Star-Forming Complex Study in Infrared and X-ray (MYStIX) Project
Eric D. Feigelson, Leisa K. Townsley, Patrick S. Broos +16
MYStIX (Massive Young Star-Forming Complex Study in Infrared and Xray) seeks to characterize 20 OB-dominated young clusters and their environs at distances d < 4 kpc using imaging…
Variational estimators for the parameters of Gibbs point process models
Adrian Baddeley, David Dereudre
This paper proposes a new estimation technique for fitting parametric Gibbs point process models to a spatial point pattern dataset. The technique is a counterpart, for spatial poi…
MYStIX First Results: Spatial Structures of Massive Young Stellar Clusters
Michael A. Kuhn, Adrian Baddeley, Eric D. Feigelson +8
Observations of the spatial distributions of young stars in star-forming regions can be linked to the theory of clustered star formation using spatial statistical methods. The MYSt…