Nonparametric Functional Modeling

Nonparametric Functional Modeling is a functional data analysis framework that belongs to the class of nonparametric statistical methods and is distinguished by its avoidance of prespecified parametric forms for the functional relationships, instead relying on data-driven estimation of functional parameters and structures in the context of functional time series.

110

Publications

7.6K

Citations

191

Authors

140

Institutions

Publications per year

2017–2026

25

Authors

191

  1. PV
    Philippe Vieu

    Université Toulouse III - Paul Sabatier, France

    12 publications · 1.5K citations

    12

    h-index

  2. FF
    Frédéric Ferraty

    Université Toulouse III - Paul Sabatier, France

    7 publications · 1.1K citations

    7

    h-index

  3. AL
    Ali Laksaci

    Université Djilali de Sidi Bel Abbès, Algeria

    7 publications · 360 citations

    7

    h-index

  4. RC
    Ricardo Cao

    Universidade da Coruña, Spain

    6 publications · 420 citations

    6

    h-index

  5. GA
    Germán Aneiros

    Universidade da Coruña, Spain

    6 publications · 420 citations

    6

    h-index

1–5 of 191

Venues

  1. Journal of the American Statistical Association

    10 publications · 641 citations

    10

    h-index

  2. Biometrika

    7 publications · 477 citations

    7

    h-index

  3. Journal of Multivariate Analysis

    6 publications · 345 citations

    6

    h-index

  4. Electronic Journal of Statistics

    5 publications · 84 citations

    5

    h-index

  5. The Annals of Statistics

    5 publications · 1K citations

    5

    h-index

1–5