Electronic Journal of Statistics

Lipschitz-Killing curvatures of excursion sets for two-dimensional random fields

Hermine Biermé, Elena Di Bernardino, Céline Duval, and Anne Estrade

Full-text: Open access

Abstract

In the present paper we study three geometrical characteristics for the excursion sets of a two-dimensional stationary isotropic random field. First, we show that these characteristics can be estimated without bias if the considered field satisfies a kinematic formula, this is for instance the case of fields given by a function of smooth Gaussian fields or of some shot noise fields. By using the proposed estimators of these geometric characteristics, we describe some inference procedures for the estimation of the parameters of the field. An extensive simulation study illustrates the performances of each estimator. Then, we use the Euler characteristic estimator to build a test to determine whether a given field is Gaussian or not, when compared to various alternatives. The test is based on a sparse information, i.e., the excursion sets for two different levels of the field to be tested. Finally, the proposed test is adapted to an applied case, synthesized 2D digital mammograms.

Article information

Source
Electron. J. Statist., Volume 13, Number 1 (2019), 536-581.

Dates
Received: May 2018
First available in Project Euclid: 14 February 2019

Permanent link to this document
https://projecteuclid.org/euclid.ejs/1550134834

Digital Object Identifier
doi:10.1214/19-EJS1530

Subjects
Primary: 60G60: Random fields 62F12: Asymptotic properties of estimators
Secondary: 62F03: Hypothesis testing 60G10: Stationary processes

Keywords
Test of Gaussianity Gaussian and shot-noise fields excursion sets level sets Euler characteristic crossings

Rights
Creative Commons Attribution 4.0 International License.

Citation

Biermé, Hermine; Di Bernardino, Elena; Duval, Céline; Estrade, Anne. Lipschitz-Killing curvatures of excursion sets for two-dimensional random fields. Electron. J. Statist. 13 (2019), no. 1, 536--581. doi:10.1214/19-EJS1530. https://projecteuclid.org/euclid.ejs/1550134834


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