Classification of functional fragments by regularized linear classifiers with domain selection

DOI10.1093/BIOMET/ASY060zbMath1506.62544arXiv1708.08257OpenAlexW2963184630MaRDI QIDQ5742760

David Kraus, Marco Stefanucci

Publication date: 8 May 2019

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1708.08257

zbMATH Keywords

classificationregularizationconjugate gradientfunctional datapartial observationridge methoddomain selection

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Ridge regression; shrinkage estimators (Lasso) (62J07) Functional data analysis (62R10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (8)

Mean and Covariance Estimation for Functional Snippets ⋮ Estimation in partially observed functional linear quantile regression ⋮ An adaptive group Lasso approach for domain selection in functional generalized linear models ⋮ Robust Inference for Partially Observed Functional Response Data ⋮ On statistical classification with incomplete covariates via filtering ⋮ Ridge reconstruction of partially observed functional data is asymptotically optimal ⋮ Integrated Depths for Partially Observed Functional Data ⋮ Inferential procedures for partially observed functional data

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