M-estimators of location for functional data

DOI10.3150/17-BEJ929zbMath1440.62405OpenAlexW2586686097MaRDI QIDQ1697056

Beatriz Sinova, Gil González-Rodríguez, Stefan Van Aelst

Publication date: 15 February 2018

Published in: Bernoulli (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.bj/1517540476

zbMATH Keywords

functional datastatistical robustnesstrimmed meansfunctional data metricHampel lossHuber lossM-estimates of locationTukey loss

Mathematics Subject Classification ID

Density estimation (62G07) Functional data analysis (62R10) Nonparametric robustness (62G35)

Related Items (9)

Robust functional principal components for sparse longitudinal data ⋮ Robust Inference for Partially Observed Functional Response Data ⋮ Robust multivariate and functional archetypal analysis with application to financial time series analysis ⋮ Robust optimal estimation of location from discretely sampled functional data ⋮ Functional principal component analysis for partially observed elliptical process ⋮ Robust functional regression based on principal components ⋮ M-estimators and trimmed means: from Hilbert-valued to fuzzy set-valued data ⋮ Robust archetypoids for anomaly detection in big functional data ⋮ Empirical analysis of the maxbias of the fuzzy MDD-based Hampel M-estimator of location

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