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

Publications

15.9K

Citations

523

Authors

369

Institutions

Publications per year

2017–2026

84

Authors

523

  1. TS
    Tomiwa Sunday Adebayo

    Cyprus International University, Cyprus

    8 publications · 328 citations

    8

    h-index

  2. AB
    Ahmed Bossman

    University of Cape Coast, Ghana

    6 publications · 439 citations

    6

    h-index

  3. MG
    Mariya Gubareva

    University of Lisbon, Portugal

    6 publications · 439 citations

    6

    h-index

  4. MB
    Mehmet Balcılar

    Eastern Mediterranean University, Cyprus

    5 publications · 500 citations

    5

    h-index

  5. RK
    Roger Koenker

    University of Illinois Urbana-Champaign, United States

    5 publications · 1.1K citations

    5

    h-index

1–5 of 523

Venues

  1. Journal of the American Statistical Association

    14 publications · 1.5K citations

    14

    h-index

  2. SSRN Electronic Journal

    Repository · 11 publications · 459 citations

    11

    h-index

  3. Journal of Business and Economic Statistics

    JBES · 9 publications · 564 citations

    9

    h-index

  4. Journal of Econometrics

    8 publications · 483 citations

    8

    h-index

  5. Biometrika

    6 publications · 1.1K citations

    6

    h-index

1–5