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Multivariate Density Estimation with General Flat-Top Kernels of Infinite Order

✍ Scribed by Dimitris N. Politis; Joseph P. Romano


Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
430 KB
Volume
68
Category
Article
ISSN
0047-259X

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✦ Synopsis


The problem of nonparametric estimation of a multivariate density function is addressed. In particular, a general class of estimators with favorable asymptotic performance (bias, variance, rate of convergence) is proposed. The proposed estimators are characterized by the flatness near the origin of the Fourier transform of the kernel and are actually shown to be exactly -N-consistent provided the density is sufficiently smooth.