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Statistica Sinica 29 (2019), 1065-1081

ASYMPTOTICS FOR REDESCENDING M-ESTIMATORS
IN LINEAR MODELS WITH INCREASING DIMENSION
Ezequiel Smucler
Universidad de Buenos Aires - CONICET

Abstract: This paper deals with the asymptotic statistical properties of a class of redescending M-estimators in linear models with increasing dimension. This class is large enough to include popular high breakdown point estimators such as S-estimators and MM-estimators, which were not covered by existing results in the literature. We prove consistency assuming only that p/n ? 0 and asymptotic normality essentially if p3/n ? 0, where p is the number of covariates and n is the sample size.

Key words and phrases: Dimension asymptotics, M-estimators, MM-estimators, robust regression, S-estimators.

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