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Optimal Specification Testing for the Fixed Design Spatial Regression Model

C. R. Math. Rep. Acad. Sci. Canada Vol. 46 (3) 2024, pp. 79–104
Vol.46 (3) 2024
Stephane Bouka Details
(Received: 2024-06-24 , Revised: 2024-07-19 )
(Received: 2024-06-24 , Revised: 2024-07-19 )

Stephane Bouka, Laboratoire de Probabilites, Statistique et Informatiquer Unite de Recherche en Mathematiques et Informatique, Universite des Sciences et Techniques de Masuku, BP 813 Franceville, GABON; e-mail: stephane.bouka@univ-masuku.org

Abstract/Résumé:

In this paper, we address the problem of testing the specification of the regression function in a fixed N-dimensional setting when the errors are stationary isotropic mixing random fields. We propose a test statistic that takes into account the proximity between sites, establish its asymptotic normality and prove that it achieves the minimax rate.

Dans cet article, nous abordons le problème du test de spécification de la fonction de régression dans un cadre de design fixe de dimension N, lorsque les erreurs sont des champs aléatoires mélangeant isotropiques stationnaires. Nous proposons une statistique de test qui tient compte de la proximité entre les sites, établissons sa normalité asymptotique et prouvons qu’elle atteint la vitesse minimax du test.

Keywords: Optimal rate of testing, regression model, spatial data

AMS Subject Classification: Minimax procedures, Density estimation, Hypothesis testing, Spatial processes 62C20, 62G07, 62G10, 62M30

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