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A frisch-newton algorithm for sparse quantile regression
Roger Koenker, Pin Ng
Business, The W.A. Franke College of (CoB)
Research output
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Contribution to journal
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Article
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peer-review
40
Scopus citations
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Dive into the research topics of 'A frisch-newton algorithm for sparse quantile regression'. Together they form a unique fingerprint.
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Keyphrases
Quantile Regression
100%
Newton Algorithm
100%
Nonparametric Quantile Regression
100%
Design Matrix
66%
Sparse Structure
66%
Quantile Regression Model
33%
Recent Experience
33%
Simplex Method
33%
Interior Point Method
33%
Type Decomposition
33%
Roughness Penalty
33%
Computational Speed
33%
Memory Requirements
33%
Multivariate Smoothing
33%
Zero Element
33%
Barriers Approach
33%
Fixed Effects Model
33%
Regression Problem
33%
Modified Algorithm
33%
Partial Linear Model
33%
Log-barrier
33%
Sparse Linear Algebra
33%
Mathematics
Quantile Regression
100%
Parametric
40%
Design Matrix
40%
Analysis of Variance
20%
Interior Point
20%
Linear Algebra
20%
Open Problem
20%
Simplex Method
20%
Linear Models
20%
Nonzero Element
20%