Functional Mean Estimation

Functional Mean Estimation is a statistical inference procedure in functional data analysis that estimates the population mean function from a sample of random curves, distinguishing itself by accommodating infinite-dimensional functional observations rather than scalar or vector-valued data.

60

Publications

3.9K

Citations

110

Authors

74

Institutions

Publications per year

2017–2026

12

Authors

110

  1. PK
    Piotr Kokoszka

    Utah State University, United States

    6 publications · 543 citations

    7

    h-index

  2. LH
    Lajos Horváth

    University of Utah, United States

    5 publications · 501 citations

    5

    h-index

  3. LY
    Lijian Yang

    Michigan State University, United States

    4 publications · 231 citations

    4

    h-index

  4. NL
    Nancy L. Garcia

    Universidade Estadual de Campinas (UNICAMP), Brazil

    2 publications · 21 citations

    2

    h-index

  5. RG
    Robertas Gabrys

    Utah State University, United States

    2 publications · 261 citations

    2

    h-index

1–5 of 110

Venues

  1. Electronic Journal of Statistics

    4 publications · 66 citations

    4

    h-index

  2. Journal of Multivariate Analysis

    3 publications · 113 citations

    4

    h-index

  3. The Annals of Statistics

    4 publications · 337 citations

    4

    h-index

  4. 3

    h-index

  5. 3

    h-index

1–5