Ranking-Based Variable Selection for high-dimensional data
Work
Year: 2018
Type: article
Abstract: We propose Ranking-Based Variable Selection (RBVS), a technique aiming to identify important variables influencing the response in high-dimensional data.The RBVS algorithm uses subsampling to identify... more
Source: Statistica Sinica
Institution London School of Economics and Political Science
Cites: 40
Cited by: 5
Related to: 10
FWCI: 0.723
Citation percentile (by year/subfield): 64.1
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green