The hybrid method of FSIR and FSAVE for functional effective dimension reduction

DOI10.1016/j.csda.2015.05.011zbMath1468.62205OpenAlexW2158444324WikidataQ58611454 ScholiaQ58611454MaRDI QIDQ1663193

Yan Zhou, Guochang Wang, Xiang-Nan Feng, Bao-Xue Zhang

Publication date: 21 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2015.05.011

zbMATH Keywords

functional regressioninverse regressioneffective dimension reduction

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)

Related Items

Dimension reduction for functional data based on weak conditional moments ⋮ Dimension reduction in functional regression with categorical predictor ⋮ Weight fused functional sliced average variance estimation ⋮ Functional sufficient dimension reduction through average Fréchet derivatives ⋮ Functional sufficient dimension reduction based on weighted method ⋮ Functional envelope for model-free sufficient dimension reduction ⋮ Functional dimension reduction based on fuzzy partition and transformation ⋮ Dimension reduction for functional regression with a binary response ⋮ Functional sufficient dimension reduction for functional data classification ⋮ Smoothed average variance estimation for dimension reduction with functional data

Uses Software

• fda (R)

Cites Work

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