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Model-Free Feature Screening for Ultrahigh-Dimensional Data:

Zhu, Li-Ping ; Li, Lexin ; Li, Runze.
Journal of the American Statistical Association. 106 (2011) 496 - p. 1464-1475 , 2011

Link: https://www.jstor.org/stable/23239551

RT Journal
T1 <Title>Model-Free Feature Screening for Ultrahigh-Dimensional Data</Title>

UL https://suche.suub.uni-bremen.de/peid=jstor-23239551&Exemplar=1&LAN=DE
				
A1 Zhu, Li-Ping
A1 Li, Lexin
A1 Li, Runze
A1 Zhu, Li-Xing
PB American Statistical Association
YR 2011
SN 0162-1459
K1 Biological sciences
K1 Agriculture
K1 Farming
K1 Crop production
K1 Crop harvesting
K1 Manual harvesting
K1 Threshing
K1 Applied sciences
K1 Research methods
K1 Modeling
K1 Information science
K1 Information analysis
K1 Data analysis
K1 Regression analysis
K1 Linear regression
K1 Linear models
K1 Mathematics
K1 Applied mathematics
K1 Statistics
K1 Applied statistics
K1 Descriptive statistics
K1 Statistical distributions
K1 Distribution functions
K1 Probability distributions
K1 Gaussian distributions
K1 Business
K1 Business operations
K1 Commerce
K1 Financial transactions
K1 Payments
K1 Transfer payments
K1 Grants
K1 Health sciences
K1 Health and wellness
K1 Public health
K1 Epidemiology
K1 Health screening
K1 Genetic screening
K1 Measures of variability
K1 Sample size
JF Journal of the American Statistical Association
VO 106
IS 496
SP 1464
OP 1475
LK http://dx.doi.org/https://www.jstor.org/stable/23239551
DO https://www.jstor.org/stable/23239551
SF ELIB - SuUB Bremen

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