Weyl eigenvalue asymptotics and sharp adaptation on vector bundles

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초록

This paper examines the estimation of an indirect signal embedded in white noise on vector bundles. It is found that the sharp asymptotic minimax bound is determined by the degree to which the indirect signal is embedded in the linear operator. Thus when the linear operator has polynomial decay, recovery of the signal is polynomial where the exact minimax constant and rate are determined. Adaptive sharp estimation is carried out using a blockwise shrinkage estimator. Application to the spherical deconvolution problem for the polynomially bounded case is made. (C) 2009 Elsevier Inc. All rights reserved.

키워드

EigenstructureLaplacianPinsker-Weyl boundRiemannian geometrySobolev ellipsoidSpectral geometryWeyl constantSTATISTICAL INVERSE PROBLEMSSPHERICAL DECONVOLUTIONDENSITYRECONSTRUCTIONMULTIVARIATECONVERGENCEMANIFOLDSRATESNOISEMODEL
제목
Weyl eigenvalue asymptotics and sharp adaptation on vector bundles
저자
Kim, Peter T.Koo, Ja-YongLuo, Zhi-Ming
DOI
10.1016/j.jmva.2009.03.012
발행일
2009-10
유형
Article
저널명
Journal of Multivariate Analysis
100
9
페이지
1962 ~ 1978