Posterior Odds

Posterior Odds is the ratio of the posterior probabilities of two competing hypotheses, serving as a formal Bayesian measure that quantifies the relative strength of evidence in favor of one hypothesis over another after observing the data.

148

Publications

39.4K

Citations

411

Authors

242

Institutions

Publications per year

2017–2026

25

Authors

411

  1. JG
    John Geweke

    University of Technology Sydney, Australia

    5 publications · 779 citations

    5

    h-index

  2. FS
    Frank Schorfheide

    University of Pennsylvania, United States

    4 publications · 1.8K citations

    4

    h-index

  3. FC
    Frank C. Keil

    Yale University, United States

    3 publications · 87 citations

    3

    h-index

  4. SG
    Samuel G. B. Johnson

    Yale University, United States

    3 publications · 87 citations

    3

    h-index

  5. RT
    Roberto Trotta

    Imperial College London, United Kingdom

    2 publications · 144 citations

    2

    h-index

1–5 of 411

Venues

  1. Journal of the American Statistical Association

    6 publications · 15.5K citations

    6

    h-index

  2. Journal of Applied Econometrics

    5 publications · 821 citations

    5

    h-index

  3. Econometric Theory

    4 publications · 294 citations

    4

    h-index

  4. Journal of Business and Economic Statistics

    JBES · 4 publications · 131 citations

    4

    h-index

  5. Law Probability and Risk

    4 publications · 142 citations

    4

    h-index

1–5