Open Access
2021 Estimation of local anisotropy based on level sets
Corinne Berzin
Author Affiliations +
Electron. J. Probab. 26: 1-72 (2021). DOI: 10.1214/21-EJP721

Abstract

Consider an affine field X:R2R, that is a process equal in law to Z(A.t), where Z is isotropic and A:R2R2 is a linear self-adjoint transformation. The field X and transformation A will be supposed to be respectively Gaussian and definite positive. Denote 0<λ:=λ2λ11 the ratio of the eigenvalues of A, let λ1, λ2 with λ2λ1. This paper is aimed at testing the null hypothesis “X is isotropic” versus the alternative “X is affine”. Roughly speaking, this amounts to testing “λ=1” versus “λ<1”. By setting level u in R, this is implemented by the partial observations of process X through some particular level functionals viewed over a square Tn, which grows to R2. This leads us to provide estimators for the affinity parameters that are shown to be almost surely consistent. Their asymptotic normality results provide confidence intervals for parameters.

This paper offered an important opportunity to study general level functionals near the level u and for a fixed bounded rectangle T of R2, part of the difficulties arises from the fact that the topology of level set CT,X(u)=tT:X(t)=u can be irregular, even if the trajectories of X are regular. A significant part of the paper is dedicated to show the L2-continuity in the level u of these general functionals.

Acknowledgments

The author is grateful to the referees for many suggestions that led to substantial improvements in this work.

Citation

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Corinne Berzin. "Estimation of local anisotropy based on level sets." Electron. J. Probab. 26 1 - 72, 2021. https://doi.org/10.1214/21-EJP721

Information

Received: 3 January 2018; Accepted: 25 October 2021; Published: 2021
First available in Project Euclid: 6 December 2021

Digital Object Identifier: 10.1214/21-EJP721

Subjects:
Primary: 53C65 , 60G60 , 62F12 , 62G10
Secondary: 60G10 , 60G15

Keywords: Affine processes , Gaussian fields , isotropic processes , Level sets , Rice formulas for random fields , test of isotropy

Vol.26 • 2021
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