Score Function Analysis

Score Function Analysis is a methodological framework within ordinal regression that generalizes the proportional odds model by evaluating the gradient of the log-likelihood function with respect to regression coefficients, thereby enabling efficient parameter estimation and statistical inference through score-based testing and diagnostics.

396

Publications

23.4K

Citations

919

Authors

472

Institutions

Publications per year

2017–2026

207

Authors

919

  1. GW
    Guiwu Wei

    Sichuan Normal University, China

    15 publications · 819 citations

    14

    h-index

  2. HG
    Harish Garg

    Thapar Institute of Engineering & Technology, India

    12 publications · 966 citations

    12

    h-index

  3. SC
    Shyi‐Ming Chen

    National Taiwan University of Science and Technology, Taiwan

    12 publications · 668 citations

    11

    h-index

  4. XP
    Xindong Peng

    Shaoguan University, China

    9 publications · 1.4K citations

    9

    h-index

  5. CW
    Cun Wei

    Sichuan Normal University, China

    7 publications · 508 citations

    7

    h-index

1–5 of 919

Venues

  1. Journal of Intelligent & Fuzzy Systems

    23 publications · 613 citations

    15

    h-index

  2. Information Sciences

    15 publications · 801 citations

    13

    h-index

  3. International Journal of Intelligent Systems

    12 publications · 2.6K citations

    12

    h-index

  4. The Annals of Statistics

    10 publications · 682 citations

    10

    h-index

  5. arXiv (Cornell University)

    Repository · 13 publications · 1K citations

    10

    h-index

1–5