Minimax fast rates for discriminant analysis with errors in variables

DOI10.3150/13-BEJ564zbMath1388.62188arXiv1201.3283MaRDI QIDQ2345118

Sébastien Loustau, Clément Marteau

Publication date: 19 May 2015

Published in: Bernoulli (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1201.3283

zbMATH Keywords

discriminant analysisempirical risk minimizerdeconvolution kernel estimators

Mathematics Subject Classification ID

Density estimation (62G07) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (6)

Classification in general finite dimensional spaces with the \(k\)-nearest neighbor rule ⋮ Noisy discriminant analysis with boundary assumptions ⋮ Inverse statistical learning ⋮ Optimal rates for regularization of statistical inverse learning problems ⋮ Bandwidth selection in kernel empirical risk minimization via the gradient ⋮ Estimation of convex supports from noisy measurements

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