Canonical Links

Canonical Links is a linking function in the context of Generalized Linear Models that maps the expected value of the response variable to the linear predictor by using the natural parameter of the exponential family distribution, thereby ensuring the equivalence between the canonical parameter and the linear predictor.

13

Publications

752

Citations

25

Authors

19

Institutions

Publications per year

2017–2026

0

Authors

25

  1. DK
    Dipak K. Dey

    University of Connecticut, United States

    1 publications · 13 citations

    1

    h-index

  2. DW
    David W. Hosmer

    University of Massachusetts Amherst, United States

    1 publications · 21 citations

    1

    h-index

  3. CC
    Claudia Czado

    Technical University of Munich, Germany

    1 publications · 30 citations

    1

    h-index

  4. SP
    Sergey Piunikhin

    Lomonosov Moscow State University, Russia

    1 publications · 33 citations

    1

    h-index

  5. JV
    Joana Ventura

    Laboratoire Analyse, Géométrie et Applications, France

    1 publications · 36 citations

    1

    h-index

1–5 of 25

Venues

  1. 1

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  2. Memoirs of the American Mathematical Society

    1 publications · 161 citations

    1

    h-index

  3. Canadian Journal of Statistics

    CJS · 1 publications · 79 citations

    1

    h-index

  4. Biometrical Journal

    1 publications · 21 citations

    1

    h-index

  5. Japanese journal of mathematics

    1 publications · 81 citations

    1

    h-index

1–5