Fréchet kernel sliced inverse regression
Yushen Dong and
Yichao Wu
Journal of Multivariate Analysis, 2022, vol. 191, issue C
Abstract:
Fréchet regression is an extension of classical regression to study the relationship between a metric space-valued response and Euclidean predictors. In this paper, we propose a Fréchet kernel sliced inverse regression to perform sufficient dimension reduction for Fréchet regression and prove its consistency. Simulation examples and a real data example are used to illustrate its superb finite-sample performance.
Keywords: Dimension Reduction; Fréchet regression; Sliced inverse regression (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0047259X22000495
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jmvana:v:191:y:2022:i:c:s0047259x22000495
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.jmva.2022.105032
Access Statistics for this article
Journal of Multivariate Analysis is currently edited by de Leeuw, J.
More articles in Journal of Multivariate Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().