Discrepancy Measures

Discrepancy Measure is a statistical metric belonging to the class of model evaluation tools, specifically defined by its role in quantifying the divergence between observed data and the predictions of a Bayesian model to assess model adequacy.

211

Publications

11.9K

Citations

569

Authors

290

Institutions

Publications per year

2017–2026

42

Variants

Discrepancy Measure

Authors

569

  1. SS
    Sandip Sinharay

    Educational Testing Service, United States

    4 publications · 355 citations

    4

    h-index

  2. MZ
    Miron Zuckerman

    University of Rochester, United States

    3 publications · 80 citations

    3

    h-index

  3. LJ
    Linda J. Kristjanson

    Edith Cowan University, Australia

    3 publications · 265 citations

    3

    h-index

  4. TT
    Takeshi Tokuyama

    Hitachi (Japan), Japan

    3 publications · 48 citations

    3

    h-index

  5. AN
    Aleksandar Nikolov

    Rutgers, The State University of New Jersey, United States

    3 publications · 45 citations

    3

    h-index

1–5 of 569

Venues

  1. Journal of Personality and Social Psychology

    5 publications · 468 citations

    5

    h-index

  2. 4

    h-index

  3. Journal of Applied Psychology

    4 publications · 171 citations

    4

    h-index

  4. Journal of Palliative Care

    3 publications · 265 citations

    3

    h-index

  5. Applied Psychological Measurement

    3 publications · 316 citations

    3

    h-index

1–5