Functional Hypothesis Testing

Functional Hypothesis Testing is a statistical inference framework within functional data analysis that involves testing hypotheses about the distribution, structure, or parameters of random elements in a function space, distinguished by its focus on infinite-dimensional stochastic processes and their associated functional characteristics.

116

Publications

6.1K

Citations

361

Authors

206

Institutions

Publications per year

2017–2026

35

Authors

361

  1. JZ
    Jin‐Ting Zhang

    National University of Singapore, Singapore

    4 publications · 150 citations

    4

    h-index

  2. TS
    Theofanis Sapatinas

    University of Cyprus, Cyprus

    3 publications · 105 citations

    3

    h-index

  3. HC
    Hervé Cardot

    Institut de Mathématiques de Bourgogne, France

    3 publications · 244 citations

    3

    h-index

  4. ŁS
    Łukasz Smaga

    Adam Mickiewicz University in Poznań, Poland

    3 publications · 206 citations

    3

    h-index

  5. PS
    Pascal Sarda

    Université Toulouse III - Paul Sabatier, France

    3 publications · 244 citations

    3

    h-index

1–5 of 361

Venues

  1. Computational Statistics

    5 publications · 246 citations

    5

    h-index

  2. The Annals of Statistics

    2 publications · 128 citations

    3

    h-index

  3. PubMed

    Repository · 3 publications · 60 citations

    3

    h-index

  4. Ethology

    2 publications · 101 citations

    2

    h-index

  5. Biometrika

    2 publications · 118 citations

    2

    h-index

1–5