Robust estimators under a functional common principal components model
type: Item
instance of: scholarly article
title: Robust estimators under a functional common principal components model
zbMATH Open document ID: 1464.62022
author: Juan Lucas Bali
author: Graciela Boente
published in: Computational Statistics and Data Analysis
publication date: 2018-08-14T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62F35
Mathematics Subject Classification ID: 62H25
zbMATH DE Number: 6917623
zbMATH Keywords: common principal component model
zbMATH Keywords: Fisher-consistency
zbMATH Keywords: functional data analysis
zbMATH Keywords: outliers
zbMATH Keywords: projection-pursuit
zbMATH Keywords: robust estimation
describes a project that uses: rrcov
describes a project that uses: robustbase
describes a project that uses: fda (R)
MaRDI profile type: Publication
full work available at URL: j.csda.2016.08.017
OpenAlex ID: W2512124358
cites work: Principal points and elliptical distributions from the multivariate setting to the functional case
cites work: Consistency of a numerical approximation to the first principal component projection pursuit estimator
cites work: Robust functional principal components: a projection-pursuit approach
cites work: The Fitting of Power Series, Meaning Polynomials, Illustrated on Band-Spectroscopic Data
cites work: Common functional principal components
cites work: General projection-pursuit estimators for the common principal components model: influence functions and Monte Carlo study
cites work: Inference under functional proportional and common principal component models
cites work: A characterization of elliptical distributions and some optimality properties of principal components for functional data
cites work: The Influence Function as an Aid in Outlier Detection in Discriminant Analysis
cites work: Influence in principal components analysis
cites work: The influence of observations on misclassification probability estimates in linear discriminant analysis
cites work: Robust linear discriminant analysis using S-estimators
cites work: Q3502470
cites work: Influence of observations on the misclassification probability in quadratic discriminant analysis
cites work: Q4375697
cites work: High breakdown estimators for principal components: the projection-pursuit approach revis\-ited
cites work: Asymptotic distributions of principal components based on robust dispersions
cites work: Asymptotic theory for the principal component analysis of a vector random function: Some applications to statistical inference
cites work: The dynamics of implied volatilities: a common principal components approach
cites work: Robust functional estimation using the median and spherical principal components
cites work: Detecting and handling outlying trajectories in irregularly sampled functional datasets
cites work: A General Qualitative Definition of Robustness
cites work: Generalizing univariate signed rank statistics for testing and estimating a multivariate location parameter
cites work: Robust Statistics
cites work: Fast and robust discriminant analysis
cites work: Robust forecasting of mortality and fertility rates: a functional data approach
cites work: Q4839617
cites work: Q5290294
cites work: Dispersion operators and resistant second-order functional data analysis
cites work: \(M\)-type smoothing spline estimators for principal functions
cites work: Robust principal component analysis for functional data. (With comments)
cites work: Projection-pursuit approach to robust linear discriminant analysis
cites work: Applied functional data analysis. Methods and case studies
cites work: Functional data analysis.
cites work: Functional outlier detection with robust functional principal component analysis
cites work: Local influence in principal components analysis
DOI: 10.1016/J.CSDA.2016.08.017
description: scientific article; zbMATH DE number 6917623