Works (2)
Updated: July 5th, 2023 15:30
2018 journal article
Functional envelope for model-free sufficient dimension reduction
Journal of Multivariate Analysis, 163, 37–50.
Source: NC State University Libraries
Added: August 6, 2018
2018 journal article
Principal quantile regression for sufficient dimension reduction with heteroscedasticity
ELECTRONIC JOURNAL OF STATISTICS, 12(2), 2114–2140.
author keywords: Heteroscedasticity; kernel quantile regression; principal quantile regression; sufficient dimension reduction
TL;DR:
A new SDR method called principal quantile regression (PQR) is proposed that efficiently and competitively tackles heteroscedasticity and can naturally be extended to a nonlinear version via kernel trick.
(via Semantic Scholar)
doi.org (publisher)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: March 25, 2019
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