JOURNAL ARTICLE

Quantile smoothing splines

Roger KoenkerPin NgStephen Portnoy

Year: 1994 Journal:   Biometrika Vol: 81 (4)Pages: 673-680   Publisher: Oxford University Press

Abstract

SUMMARY Although nonparametric regression has traditionally focused on the estimation of conditional mean functions, nonparametric estimation of conditional quantile functions is often of substantial practical interest. We explore a class of quantile smoothing splines, defined as solutions to

Keywords:
Quantile Mathematics Nonparametric statistics Quantile regression Smoothing Econometrics Nonparametric regression Smoothing spline Statistics Estimation Conditional probability distribution Conditional expectation

Metrics

587
Cited By
11.08
FWCI (Field Weighted Citation Impact)
38
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Statistical Methods and Models
Physical Sciences →  Mathematics →  Statistics and Probability
Statistical Methods and Inference
Physical Sciences →  Mathematics →  Statistics and Probability
Advanced Statistical Process Monitoring
Social Sciences →  Decision Sciences →  Statistics, Probability and Uncertainty

Related Documents

JOURNAL ARTICLE

Quantile Smoothing Splines

Roger KoenkerPin NgStephen Portnoy

Journal:   Biometrika Year: 1994 Vol: 81 (4)Pages: 673-673
JOURNAL ARTICLE

Bivariate Quantile Smoothing Splines

Xuming HePin NgStephen Portnoy

Journal:   Journal of the Royal Statistical Society Series B (Statistical Methodology) Year: 1998 Vol: 60 (3)Pages: 537-550
JOURNAL ARTICLE

GACV for quantile smoothing splines

Ming Yuan

Journal:   Computational Statistics & Data Analysis Year: 2004 Vol: 50 (3)Pages: 813-829
JOURNAL ARTICLE

An algorithm for quantile smoothing splines

T.Ng Pin

Journal:   Computational Statistics & Data Analysis Year: 1996 Vol: 22 (2)Pages: 99-118
JOURNAL ARTICLE

Local asymptotics for quantile smoothing splines

Stephen Portnoy

Journal:   The Annals of Statistics Year: 1997 Vol: 25 (1)
© 2026 ScienceGate Book Chapters — All rights reserved.