Likelihood Specification

Likelihood Specification is the formal process of defining the probability model that characterizes the distribution of observed data given a set of parameters, distinguishing it from prior assumptions and computational strategies in Bayesian inference.

13

Publications

1.1K

Citations

27

Authors

27

Institutions

Publications per year

2017–2026

4

Authors

27

  1. GK
    Gary Koop

    University of Strathclyde, United Kingdom

    2 publications · 44 citations

    2

    h-index

  2. MF
    Mark F. J. Steel

    University of Warwick, United Kingdom

    2 publications · 44 citations

    2

    h-index

  3. WB
    Wagner Barreto‐Souza

    Universidade Federal de Pernambuco, Brazil

    1 publications · 11 citations

    1

    h-index

  4. JS
    James S. McCabe

    Missouri University of Science and Technology, United States

    1 publications · 18 citations

    1

    h-index

  5. KB
    Keith Beven

    Lancaster University, United Kingdom

    1 publications · 102 citations

    1

    h-index

1–5 of 27

Venues

  1. Journal of Business and Economic Statistics

    JBES · 2 publications · 44 citations

    2

    h-index

  2. Journal of Financial Economics

    1 publications · 115 citations

    1

    h-index

  3. Econometrica

    1 publications · 527 citations

    1

    h-index

  4. Fisheries Research

    1 publications · 29 citations

    1

    h-index

  5. Journal of Applied Econometrics

    1 publications · 37 citations

    1

    h-index

1–5