Model Misfit Detection

Model Misfit Detection is a Bayesian model checking method that identifies systematic discrepancies between a statistical model and observed data by evaluating the model’s inadequate representation of data-generating processes.

121

Publications

7K

Citations

282

Authors

173

Institutions

Publications per year

2017–2026

31

Authors

282

  1. AM
    Alberto Maydeu‐Olivares

    Universitat de Barcelona, Spain

    4 publications · 541 citations

    4

    h-index

  2. CS
    Craig S. Wells

    University of Massachusetts Amherst, United States

    3 publications · 66 citations

    3

    h-index

  3. RM
    Richard M. Golden

    The University of Texas at Dallas, United States

    2 publications · 75 citations

    2

    h-index

  4. CS
    Charles Swift

    Chevron (United States), United States

    2 publications · 193 citations

    2

    h-index

  5. AE
    André E. Punt

    University of Washington, United States

    2 publications · 93 citations

    2

    h-index

1–5 of 282

Venues

  1. Journal of Educational Measurement

    6 publications · 568 citations

    6

    h-index

  2. Applied Psychological Measurement

    4 publications · 307 citations

    4

    h-index

  3. Educational and Psychological Measurement

    4 publications · 214 citations

    4

    h-index

  4. Computational Statistics & Data Analysis

    CSDA · 4 publications · 84 citations

    4

    h-index

  5. Journal of Glaciology

    3 publications · 320 citations

    3

    h-index

1–5