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

Michel Carbon, Lanh Tat Tran and Berlin Wu

Statistics & Probability Letters, 1997, vol. 36, issue 2, pages 115-125

Abstract: 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.

Keywords: Random; field; Kernel; Bandwidth (search for similar items in EconPapers)
Date: 1997
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