Kernel density estimation for stationary random fields with values in a finite-dimensional Riemannian manifold
Résumé
This paper investigates some asymptotic properties of the kernel spatial density estimation for stationary α-mixing process on a finite-dimensional Riemannian manifold without boundary. The results extend beyond the classical independently and identically distributed (i.i.d.) data, focusing on the case where the manifold is known and extending the classical theory to random fields.
Origine | Fichiers produits par l'(les) auteur(s) |
---|