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Statistica Sinica
Summary: A considerable amount of research in the literature has focused on quantifying the effect of extreme observations on classical methods for estimating the Central Subspace (CS) for regression through the study of influence functions and their sample estimates.
Iaci, Ross, Sriram, T. N.
openaire +1 more source
Summary: A considerable amount of research in the literature has focused on quantifying the effect of extreme observations on classical methods for estimating the Central Subspace (CS) for regression through the study of influence functions and their sample estimates.
Iaci, Ross, Sriram, T. N.
openaire +1 more source
Brain and other central nervous system tumor statistics, 2021
Ca-A Cancer Journal for Clinicians, 2021Rebecca L. Siegel +2 more
exaly
Projective resampling estimation of informative predictor subspace for multivariate regression
Journal of the Korean Statistical Society, 2022Jae Keun Yoo
exaly
Sufficient dimension reduction through informative predictor subspace
Statistics, 2016Jae Keun Yoo
exaly
Determining the dimension of the central subspace and central mean subspace
Biometrika, 2008Peng Zeng
exaly
A martingale-difference-divergence-based estimation of central mean subspace
Statistics and Its Interface, 2019Yu Zhang +3 more
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On estimation efficiency of the central mean subspace
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2014Liping Zhu
exaly