The home range of an individual animal describes the geographic area where it spends
most of the time while carrying out its common activities (eating, resting, reproduction, etc.) …

The supplement contains three appendices denoted by A, B and C. In Appendix A, two
results considered in [47] are summarized. Appendix B contains the details on the algorithm …

Highest density regions (HDRs) are defined as level sets containing sample points of
relatively high density. Although Euclidean HDR estimation from a random sample …

Optimal subgroup selection Page 1 The Annals of Statistics 2023, Vol. 51, No. 6, 2342–2365
https://doi.org/10.1214/23-AOS2328 © Institute of Mathematical Statistics, 2023 OPTIMAL …

Measuring human activity spaces from GPS data with density ranking and summary curves
Page 1 The Annals of Applied Statistics 2020, Vol. 14, No. 1, 409–432 https://doi.org/10.1214/19-AOAS1311 …

Abstract Among the Graph Neural Network (GNN) models that address the task of node
classification, Graph Echo State Networks (GESN) have proved particularly effective in …

Among the variety of statistical intervals, highest‐density regions (HDRs) stand out for their
ability to effectively summarise a distribution or sample, unveiling its distinctive and salient …

This paper examines the problem of computing a canonical smallest covering region for an
arbitrary discrete probability distribution. This optimisation problem is similar to the classical …

Bandwidth selection is crucial in the kernel estimation of density level sets. A risk based on
the symmetric difference between the estimated and true level sets is usually used to …

Density-based clustering relies on the idea of linking groups to some specific features of the
probability distribution underlying the data. The reference to a true, yet unknown, population …