Mean Functions

Mean Function is a deterministic function within Gaussian Process Modeling that specifies the expected value of the Gaussian process at any input point, thereby defining the central tendency of the prior distribution over functions.

129

Publications

5.5K

Citations

248

Authors

155

Institutions

Publications per year

2017–2026

18

Authors

248

  1. JF
    Jerald F. Lawless

    University of Waterloo, Canada

    5 publications · 295 citations

    5

    h-index

  2. RJ
    Richard J. Cook

    University of Waterloo, Canada

    3 publications · 204 citations

    3

    h-index

  3. PK
    Piotr Kokoszka

    Utah State University, United States

    3 publications · 283 citations

    3

    h-index

  4. TK
    T. Kadota

    Bristol-Myers Squibb (Japan), Japan

    2 publications · 36 citations

    2

    h-index

  5. ER
    Eugenio Regazzini

    University of Pavia, Italy

    2 publications · 85 citations

    2

    h-index

1–5 of 248

Venues

  1. Journal of the American Statistical Association

    11 publications · 712 citations

    12

    h-index

  2. The Annals of Statistics

    9 publications · 551 citations

    9

    h-index

  3. Biometrics

    7 publications · 704 citations

    7

    h-index

  4. Journal of Multivariate Analysis

    3 publications · 124 citations

    3

    h-index

  5. 3

    h-index

1–5