Kernel density estimation for random fields (density estimation for random fields)

Kernel-type estimators of the multivariate density of stationary random fields indexed by multidimensional lattice points space are investigated. Sufficient conditions for kernel estimators to converge uniformly are obtained. The estimators can attain the optimal rates L[infinity] of convergence. The results apply to a large class of spatial processes.

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Year of publication:	1997
Authors:	Carbon, Michel ; Tran, Lanh Tat ; Wu, Berlin
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 36.1997, 2, p. 115-125
Publisher:	Elsevier
Subject:	Random field Kernel Bandwidth

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005138292