Variable selection in functional data classification: a maxima-hunting proposal
From MaRDI portal
Publication:2796872
DOI10.5705/ss.202014.0014zbMath1356.62079arXiv1309.6697OpenAlexW2495063973MaRDI QIDQ2796872
José R. Berrendero, José L. Torrecilla, Antonio Cuevas
Publication date: 30 March 2016
Published in: Statistica Sinica (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1309.6697
Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
Related Items (14)
An introduction to recent advances in high/infinite dimensional statistics ⋮ Shape classification based on interpoint distance distributions ⋮ Robust sparse functional regression model ⋮ On dimension reduction models for functional data ⋮ Improving Estimation in Functional Linear Regression With Points of Impact: Insights Into Google AdWords ⋮ On the Use of Reproducing Kernel Hilbert Spaces in Functional Classification ⋮ Functional diffusion maps ⋮ Functional-bandwidth kernel for support vector machine with functional data: an alternating optimization algorithm ⋮ An RKHS model for variable selection in functional linear regression ⋮ Optimum Scale Selection for 3D Point Cloud Classification through Distance Correlation ⋮ Supervised dimensionality reduction via distance correlation maximization ⋮ A novel framework for joint sparse clustering and alignment of functional data ⋮ Variable selection in classification for multivariate functional data ⋮ The mRMR variable selection method: a comparative study for functional data
This page was built for publication: Variable selection in functional data classification: a maxima-hunting proposal