Label‐noise resistant logistic regression for functional data classification with an application to Alzheimer's disease study

DOI10.1111/BIOM.12504zbMath1390.62279OpenAlexW2298091009WikidataQ31060490 ScholiaQ31060490MaRDI QIDQ5355259

Seokho Lee, Hyejin Shin, Sang Han Lee

Publication date: 7 September 2017

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12504

zbMATH Keywords

logistic regressionAlzheimer's diseaseFisher consistencyoutlier detectionMM algorithmlabel noiserobust classificationfunctional data classification

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (4)

Functional linear regression model with randomly censored data: predicting conversion time to Alzheimer 's disease ⋮ Robust logistic regression with shift parameter estimation ⋮ Classification of histogram-valued data with support histogram machines ⋮ Marginalized Lasso in sparse regression

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