Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data
Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data
Page 1 The Annals of Statistics 2013, Vol. 41, No. 1, 342–369 DOI: 10.1214/13-AOS1087 © …
Page 1 The Annals of Statistics 2013, Vol. 41, No. 1, 342–369 DOI: 10.1214/13-AOS1087 © …
[PDF][PDF] QUANTILE-ADAPTIVE MODEL-FREE VARIABLE SCREENING FOR HIGH-DIMENSIONAL HETEROGENEOUS DATA
X HE, LAN WANG, HG HONG - The Annals of Statistics, 2013 - stt.msu.edu
We introduce a quantile-adaptive framework for nonlinear variable screening with high-
dimensional heterogeneous data. This framework has two distinctive features:(1) it allows …
dimensional heterogeneous data. This framework has two distinctive features:(1) it allows …
QUANTILE-ADAPTIVE MODEL-FREE VARIABLE SCREENING FOR HIGH-DIMENSIONAL HETEROGENEOUS DATA
X He, L Wang, HG Hong - The Annals of Statistics, 2013 - JSTOR
We introduce a quantile-adaptive framework for nonlinear variable screening with high-
dimensional heterogeneous data. This framework has two distinctive features:(1) it allows …
dimensional heterogeneous data. This framework has two distinctive features:(1) it allows …
Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data
X He, L Wang, HG Hong - Annals of Statistics, 2013 - experts.umn.edu
We introduce a quantile-adaptive framework for nonlinear variable screening with high-
dimensional heterogeneous data. This framework has two distinctive features:(1) it allows …
dimensional heterogeneous data. This framework has two distinctive features:(1) it allows …
[PDF][PDF] QUANTILE-ADAPTIVE MODEL-FREE VARIABLE SCREENING FOR HIGH-DIMENSIONAL HETEROGENEOUS DATA
X He, L Wang, HG Hong - The Annals of Statistics, 2013 - Citeseer
revised January 2013. 1Supported in part by NSF Grant DMS-10-07396, NIH Grant
R01GM080503 and National Natural Science Foundation of China Grant 11129101 …
R01GM080503 and National Natural Science Foundation of China Grant 11129101 …
QUANTILE-ADAPTIVE MODEL-FREE VARIABLE SCREENING FOR HIGH-DIMENSIONAL HETEROGENEOUS DATA
X He, L Wang, HG Hong - The Annals of statistics, 2013 - scholarship.miami.edu
We introduce a quantile-adaptive framework for nonlinear variable screening with high-
dimensional heterogeneous data. This framework has two distinctive features:(1) it allows …
dimensional heterogeneous data. This framework has two distinctive features:(1) it allows …
Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data
X He, L Wang, HG Hong - arXiv e-prints, 2013 - ui.adsabs.harvard.edu
We introduce a quantile-adaptive framework for nonlinear variable screening with high-
dimensional heterogeneous data. This framework has two distinctive features:(1) it allows …
dimensional heterogeneous data. This framework has two distinctive features:(1) it allows …
[PDF][PDF] QUANTILE-ADAPTIVE MODEL-FREE VARIABLE SCREENING FOR HIGH-DIMENSIONAL HETEROGENEOUS DATA
X HE, LAN WANG, HG HONG - The Annals of Statistics, 2013 - users.stat.umn.edu
We introduce a quantile-adaptive framework for nonlinear variable screening with high-
dimensional heterogeneous data. This framework has two distinctive features:(1) it allows …
dimensional heterogeneous data. This framework has two distinctive features:(1) it allows …
[PDF][PDF] QUANTILE-ADAPTIVE MODEL-FREE VARIABLE SCREENING FOR HIGH-DIMENSIONAL HETEROGENEOUS DATA
X He, L Wang, HG Hong - The Annals of Statistics, 2013 - researchgate.net
revised January 2013. 1Supported in part by NSF Grant DMS-10-07396, NIH Grant
R01GM080503 and National Natural Science Foundation of China Grant 11129101 …
R01GM080503 and National Natural Science Foundation of China Grant 11129101 …
[PDF][PDF] QUANTILE-ADAPTIVE MODEL-FREE VARIABLE SCREENING FOR HIGH-DIMENSIONAL HETEROGENEOUS DATA
X HE, LAN WANG, HG HONG - The Annals of Statistics, 2013 - scholar.archive.org
We introduce a quantile-adaptive framework for nonlinear variable screening with high-
dimensional heterogeneous data. This framework has two distinctive features:(1) it allows …
dimensional heterogeneous data. This framework has two distinctive features:(1) it allows …