Kernel sliced inverse regression: regularization and consistency

DOI10.1155/2013/540725zbMath1364.62101OpenAlexW1967700974WikidataQ56906021 ScholiaQ56906021MaRDI QIDQ2015724

Sayan Mukherjee, Qiang Wu, Feng Liang

Publication date: 23 June 2014

Published in: Abstract and Applied Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/540725

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)

Related Items

Nonlinear predictive directions in clinical trials, Principal quantile regression for sufficient dimension reduction with heteroscedasticity, Nonlinear dimension reduction for conditional quantiles, Dimension reduction techniques for conditional expectiles, Simultaneous estimations of optimal directions and optimal transformations for functional data, Continuum versus discrete networks, graph Laplacians, and reproducing kernel Hilbert spaces

Uses Software

• RSIR

Cites Work

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• Comment