Likelihood Theory

Likelihood Theory is a formal statistical framework within inferential statistics that specifies the principles and properties governing the use of the likelihood function to estimate model parameters and make inferences about population structures based on observed data.

730

Publications

106.3K

Citations

1.2K

Authors

558

Institutions

Publications per year

2017–2026

66

Authors

1.2K

  1. DA
    D. A. S. Fraser

    University of Toronto, Canada

    21 publications · 650 citations

    17

    h-index

  2. DA
    D. A. Sprott

    University of Waterloo, Canada

    12 publications · 861 citations

    12

    h-index

  3. NR
    Nancy Reid

    University of Toronto, Canada

    11 publications · 1.8K citations

    11

    h-index

  4. TA
    Thomas A. Severini

    Northwestern University, United States

    7 publications · 247 citations

    7

    h-index

  5. OE
    Ole E. Barndorff–Nielsen

    Aarhus University, Denmark

    7 publications · 646 citations

    7

    h-index

1–5 of 1.2K

Venues

  1. Biometrika

    81 publications · 10.7K citations

    42

    h-index

  2. Journal of the American Statistical Association

    54 publications · 8.7K citations

    33

    h-index

  3. 27

    h-index

  4. The Annals of Statistics

    25 publications · 4.3K citations

    20

    h-index

  5. Technometrics

    26 publications · 1.9K citations

    19

    h-index

1–5