Nonparametric Quantile Regression
Nonparametric Quantile Regression is a statistical modeling framework within nonparametric econometrics that estimates the conditional quantiles of a dependent variable as a flexible, unspecified function of covariates, without imposing parametric assumptions on the functional form or error distribution.
246
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15.9K
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523
Authors
369
Institutions
Publications per year
2017–2026
84
Parents
246
Local Linear Regression Smoothers and Their Minimax Efficiencies
Jianqing Fan · The Annals of Statistics · 1993 · 903 citations · Full text
Roger Koenker, Pin Ng, Stephen Portnoy · Biometrika · 1994 · 597 citations · Full text
Nonparametric quantile estimation
ANU Open Research (Australian National University) · 2006 · 377 citations · Full text
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University of Illinois Urbana-Champaign
Urbana, United States
9 h-index
15 publications
2.7K citations
Cyprus International University
Nicosia, Cyprus
8 h-index
9 publications
382 citations
University of South Carolina
Columbia, United States
7 h-index
13 publications
590 citations
University of Cape Coast
Cape Coast, Ghana
6 h-index
7 publications
494 citations
University of Lisbon
Lisbon, Portugal
6 h-index
6 publications
439 citations

University of Pretoria
Pretoria, South Africa
6 h-index
7 publications
550 citations
University College London
London, United Kingdom
5 h-index
13 publications
576 citations
Texas A&M University
College Station, United States
5 h-index
5 publications
315 citations
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14 publications · 1.5K citations
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Repository · 11 publications · 459 citations
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JBES · 9 publications · 564 citations
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8 publications · 483 citations
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6 publications · 1.1K citations
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