Full Citation
Title: Semiparametrically Efficient Method for Enveloped Central Space
Citation Type: Journal Article
Publication Year: 2023
ISBN:
ISSN: 0162-1459
DOI: 10.1080/01621459.2023.2252134
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Abstract: The estimation of the central space is at the core of the sufficient dimension reduction (SDR) literature. However, it is well known that the finite-sample estimation suffers from collinearity amon...
Url: https://www.tandfonline.com/doi/abs/10.1080/01621459.2023.2252134
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Authors: Ma, Linquan; Wang, Jixin; Chen, Han; Liu, Lan
Periodical (Full): https://doi.org/10.1080/01621459.2023.2252134
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Pages: 1-23
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