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Local composite quantile regression smoothing: An efficient and safe alternative to local polynomial regression
Bo Kai, Runze Li,
Hui Zou
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
166
Scopus citations
Overview
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Dive into the research topics of 'Local composite quantile regression smoothing: An efficient and safe alternative to local polynomial regression'. Together they form a unique fingerprint.
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Mathematics
Local Polynomial Regression
80%
Quantile Regression
62%
Smoothing
49%
Composite
47%
Alternatives
33%
Regression Estimate
27%
Nonparametric Regression
22%
Estimate
19%
Asymptotic Bias
13%
Simulation
13%
Asymptotic Relative Efficiency
13%
Data Structures
10%
Normality
9%
Performance
6%
Business & Economics
Quantile Regression
100%
Polynomial Regression
74%
Smoothing
58%
Nonparametric Regression
34%
Alternatives
25%
Asymptotic Bias
13%
Simulation
12%
Data Structures
11%
Normality
10%
Relative Efficiency
9%
Sampling
9%
Performance
3%