Robust Principal Component Functional Logistic Regression

DOI10.1080/03610918.2013.861628zbMath1341.62238OpenAlexW2004661055MaRDI QIDQ2809599

Melody Denhere, Nedret Billor

Publication date: 30 May 2016

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2013.861628

zbMATH Keywords

outliersfunctional datarobust methodsfunctional logistic regression

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Nonparametric robustness (62G35) Generalized linear models (logistic models) (62J12)

Related Items (5)

Point separation in logistic regression on Hilbert space-valued variables ⋮ A robust scalar-on-function logistic regression for classification ⋮ Robust correlation scaled principal component regression ⋮ Rank estimation for the functional linear model ⋮ Robust group-Lasso for functional regression model

Uses Software

• rrcov
• Unnamed Item

Cites Work

• Robust functional principal components: a projection-pursuit approach
• High-breakdown robust multivariate methods
• Detecting and handling outlying trajectories in irregularly sampled functional datasets
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• Trimmed means for functional data
• Generalized functional linear models
• Functional data analysis.
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• Nonparametric functional data analysis. Theory and practice.
• Functional outlier detection with robust functional principal component analysis
• Robust functional estimation using the median and spherical principal components
• Functional Generalized Linear Models with Images as Predictors
• A Biometrics Invited Paper. The Analysis and Selection of Variables in Linear Regression
• Generalized Linear Models with Functional Predictors
• Principal component estimation of functional logistic regression: discussion of two different approaches
• Ridge Estimators in Logistic Regression

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