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Composite quantile regression and the oracle model selection theory
Hui Zou
, Ming Yuan
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
426
Scopus citations
Overview
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Dive into the research topics of 'Composite quantile regression and the oracle model selection theory'. Together they form a unique fingerprint.
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Mathematics
Quantile Regression
62%
Oracle
56%
Model Selection
53%
Composite
47%
Least Squares
20%
Penalized Least Squares
10%
Multiple Linear Regression
9%
Relative Efficiency
9%
Selection Procedures
8%
Breakdown
8%
Variable Selection
7%
Regression
5%
Framework
4%
Concepts
4%
Coefficient
3%
Business & Economics
Quantile Regression
100%
Model Selection
81%
Least Squares
33%
Variable Selection
13%
Least Squares Estimator
9%
Multiple Linear Regression
8%
Regression Method
8%
Relative Efficiency
8%
Breakdown
7%
Estimator
6%
Coefficients
5%