Small-sample Bayesian Estimation

Small-Sample Bayesian Estimation is a Bayesian inference method in item response theory that specifically addresses the challenge of estimating model parameters when the sample size is limited by incorporating prior information to enhance estimation accuracy and stability.

46

Publications

2.6K

Citations

96

Authors

63

Institutions

Publications per year

2017–2026

16

Authors

96

  1. DM
    Daniel McNeish

    Arizona State University, United States

    3 publications · 677 citations

    3

    h-index

  2. SD
    Sarah Depaoli

    University of California, Merced, United States

    3 publications · 168 citations

    3

    h-index

  3. GM
    Greg M. Allenby

    Fisher College, United States

    3 publications · 291 citations

    3

    h-index

  4. SD
    Sonja D. Winter

    University of California, Merced, United States

    3 publications · 93 citations

    3

    h-index

  5. DJ
    Darius J. Sabavala

    Cornell University, United States

    2 publications · 55 citations

    2

    h-index

1–5 of 96

Venues

  1. Structural Equation Modeling A Multidisciplinary Journal

    SEM · 5 publications · 745 citations

    5

    h-index

  2. Applied Psychological Measurement

    3 publications · 126 citations

    3

    h-index

  3. Journal of Business and Economic Statistics

    JBES · 3 publications · 77 citations

    3

    h-index

  4. Psychological Methods

    2 publications · 43 citations

    2

    h-index

  5. International Journal of Behavioral Development

    IJBD · 2 publications · 174 citations

    2

    h-index

1–5