Nonparametric Dependence Models

Nonparametric Dependence Models is a statistical framework that characterizes the stochastic relationship between random variables without assuming a predefined parametric form for their joint or marginal distributions.

61

Publications

4K

Citations

112

Authors

73

Institutions

Publications per year

2017–2026

11

Variants

Non-parametric Dependence Models

Authors

112

  1. AQ
    Alejandro Quintela-del-Rı́o

    Universidade da Coruña, Spain

    4 publications · 50 citations

    4

    h-index

  2. JM
    Jan Mielniczuk

    Polish Academy of Sciences, Poland

    3 publications · 179 citations

    3

    h-index

  3. XW
    Xueqin Wang

    Sun Yat-sen University, China

    2 publications · 217 citations

    2

    h-index

  4. PW
    Peter W. Gieser

    University of Florida, United States

    2 publications · 77 citations

    2

    h-index

  5. RH
    Ronald H. Randles

    University of Florida, United States

    2 publications · 77 citations

    2

    h-index

1–5 of 112

Venues

  1. 7

    h-index

  2. Journal of Multivariate Analysis

    4 publications · 173 citations

    4

    h-index

  3. Journal of Econometrics

    4 publications · 305 citations

    4

    h-index

  4. The Annals of Statistics

    3 publications · 854 citations

    3

    h-index

  5. Statistics & Probability Letters

    3 publications · 42 citations

    3

    h-index

1–5