Statistics for Gaussian Random Fields with Unknown Location and Scale using Lipschitz-Killing Curvatures - Archive ouverte HAL Access content directly
Journal Articles Scandinavian Journal of Statistics Year : 2022

Statistics for Gaussian Random Fields with Unknown Location and Scale using Lipschitz-Killing Curvatures

(1) , (2)
1
2

Abstract

In this paper we study some statistics linked to the average of Lipschitz-Killing (LK) curvatures of the excursion set of a stationary non-standard isotropic Gaussian field X on R 2. Under this hypothesis of unknown location and scale parameters of X, we introduce novel fundamental quantities, that we call effective level and effective spectral moment, and we derive unbiased and asymptotically normal estimators of these parameters. Furthermore, empirical variance estimators of the asymptotic variance of the third LK curvature of the excursion set (i.e., the area) and of the effective level are proposed. Their consistency is established under a weak condition on the correlation function of X. Finally, using the previous asymptotic results, we built a test to determine if two images of excursion sets can be compared. This test is applied on both synthesized and real mammograms.
Fichier principal
Vignette du fichier
DiBernardinoDuval.pdf (884.78 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02317747 , version 1 (16-10-2019)

Identifiers

  • HAL Id : hal-02317747 , version 1

Cite

Elena Di Bernardino, Céline Duval. Statistics for Gaussian Random Fields with Unknown Location and Scale using Lipschitz-Killing Curvatures. Scandinavian Journal of Statistics, 2022, 49, pp.143-184. ⟨hal-02317747⟩
155 View
134 Download

Share

Gmail Facebook Twitter LinkedIn More