Searching for the core variables in principal components analysis

DOI10.1214/17-BJPS361zbMath1404.62064arXiv1308.6626MaRDI QIDQ1620923

Yanina Gimenez, Guido Giussani

Publication date: 15 November 2018

Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1308.6626

zbMATH Keywords

multivariate analysisprincipal componentsnonparametric relationshipsselection of variablesinformative variables

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Nonparametric estimation (62G05)

Related Items (2)

The principal problem with principal components regression ⋮ Confronting collinearity in environmental regression models: evidence from world data

Uses Software

• UCI-ml
• robustbase
• lpc

Cites Work

• Unnamed Item
• COBRA: a combined regression strategy
• Clustering and feature selection using sparse principal component analysis
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• Testing significance of features by lassoed principal components
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• Principal component analysis.
• Selection of Variables for Cluster Analysis and Classification Rules
• Principal Variables
• K-nearest-neighbour non-parametric estimation of regression functions in the presence of irrelevant variables
• UNIFORM CONVERGENCE RATES FOR KERNEL ESTIMATION WITH DEPENDENT DATA
• Simple Principal Components
• Regularization and Variable Selection Via the Elastic Net
• Robust Statistics

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