Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data
Work
Year: 2013
Type: article
Abstract: We introduce a quantile-adaptive framework for nonlinear variable screening with high-dimensional heterogeneous data. This framework has two distinctive features: (1) it allows the set of active varia... more
Source: The Annals of Statistics
Authors Xuming He, Lan Wang, Hyokyoung G. Hong
Institutions University of Michigan–Ann Arbor, University of Minnesota, City University of New York
Cites: 37
Cited by: 180
Related to: 10
FWCI: 8.567
Citation percentile (by year/subfield): 99.98
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Sustainable Development Goal Peace, justice, and strong institutions
Open Access status: hybrid