Open Access
January 2019 Hellinger Distance Estimation of Strongly Dependent Gaussian Random Fields
Aubin Yao N'DRI, Ouagnina HILI, Gueï Cyrille OKOU
Afr. Stat. 14(1): 1937-1950 (January 2019). DOI: 10.16929/as/2019.1937.143

Abstract

The Minimum Hellinger Distance Estimator (MHDE) of density function is investigated for stationary long memory (long-range dependent) random fields observed over a finite set of spatial points. A general result on the consistency of the MHD Estimator is first obtained and then, under some mild assumptions, the asymptotic distribution of this estimator is established.

L'estimateur du minimum de distance de Hellinger est étudié pour des champs aléatoires stationnaires à longue mémoire observés sur un ensemble fini de points de l'espace. Un résultat général sur la convergence presque sû de cet estimateur est d'abord obtenue, puis, sous certaines hypothèses, la distribution asymptotique est établie.

Citation

Download Citation

Aubin Yao N'DRI. Ouagnina HILI. Gueï Cyrille OKOU. "Hellinger Distance Estimation of Strongly Dependent Gaussian Random Fields." Afr. Stat. 14 (1) 1937 - 1950, January 2019. https://doi.org/10.16929/as/2019.1937.143

Information

Published: January 2019
First available in Project Euclid: 24 May 2019

zbMATH: 07058651
MathSciNet: MR3954232
Digital Object Identifier: 10.16929/as/2019.1937.143

Subjects:
Primary: 60G10 , 60G15 , 60G60 , 62F12

Keywords: asymptotic properties , Hellinger distance estimation , Random field , strongly dependence

Rights: Copyright © 2019 The Statistics and Probability African Society

Vol.14 • No. 1 • January 2019
Back to Top