Multivariate functional subspace classification for high-dimensional longitudinal data

DOI10.1007/s42081-023-00226-xMaRDI QIDQ6578481

Hiroya Takada, Tatsuya Fukuda, Sadanori Konishi, Toshihiro Misumi, Hidetoshi Matsui

Publication date: 25 July 2024

Published in: Japanese Journal of Statistics and Data Science (Search for Journal in Brave)

zbMATH Keywords

classificationhigh-dimensional datafunctional data analysissubspace method

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Multiclass functional discriminant analysis and its application to gesture recognition
• Functional regression modeling via regularized Gaussian basis expansions
• Functional principal component analysis via regularized Gaussian basis expansions and its application to unbalanced data
• A survey of functional principal component analysis
• Principal components for multivariate functional data
• Variable selection in classification for multivariate functional data
• Functional data analysis.
• Computer Age Statistical Inference
• An Outlyingness Matrix for Multivariate Functional Data Classification
• Introduction to Functional Data Analysis
• Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains
• Sparse group lasso for multiclass functional logistic regression models
• An Introduction to Statistical Learning
• Linear discriminant analysis for multiple functional data analysis
• The Elements of Statistical Learning

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