Simultaneous variable selection and smoothing for high-dimensional function-on-scalar regression

DOI10.1214/18-EJS1509zbMath1433.62111OpenAlexW2906044968WikidataQ128714232 ScholiaQ128714232MaRDI QIDQ1711594

Alice Parodi, Matthew Reimherr

Publication date: 18 January 2019

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ejs/1545382951

zbMATH Keywords

nonlinear regressionvariable selectionreproducing kernel Hilbert spacefunctional data analysisminimax convergence

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) General nonlinear regression (62J02) Hilbert spaces with reproducing kernels (= (proper) functional Hilbert spaces, including de Branges-Rovnyak and other structured spaces) (46E22)

Related Items (5)

Variable selection in nonlinear function‐on‐scalar regression ⋮ Testing linear operator constraints in functional response regression with incomplete response functions ⋮ Adaptive function-on-scalar regression with a smoothing elastic net ⋮ From multivariate to functional data analysis: fundamentals, recent developments, and emerging areas ⋮ flm

Uses Software

• R
• fda (R)
• ISLR

Cites Work

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