Open AccessIntensive comparison of semi-parametric and non-parametric dimension reduction methods in forward regression
Author(s) -
Minju Shin,
Jae Keun Yoo
Publication year - 2022
Publication title -
communications for statistical applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.326
H-Index - 6
eISSN - 2383-4757
pISSN - 2287-7843
DOI - 10.29220/csam.2022.29.5.615
Subject(s) - sliced inverse regression , parametric statistics , statistics , mathematics , sufficient dimension reduction , dimensionality reduction , dimension (graph theory) , reduction (mathematics) , semiparametric model , regression , econometrics , regression dilution , polynomial regression , computer science , artificial intelligence , combinatorics , geometry
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