State-dependent Residual Variability

State-Dependent Residual Variability is a modeling framework that accounts for residual unexplained variability in observational data by allowing the magnitude or structure of residuals to vary systematically with the underlying state of the system being studied.

7

Publications

563

Citations

26

Authors

14

Institutions

Publications per year

2017–2026

2

Authors

26

  1. SN
    Shinya Nakamura

    Hitachi (Japan), Japan

    2 publications · 72 citations

    2

    h-index

  2. SG
    Seiichi GIBO

    University of the Ryukyus, Japan

    2 publications · 72 citations

    2

    h-index

  3. KE
    K. Egashira

    Kyushu University, Japan

    1 publications · 62 citations

    1

    h-index

  4. BN
    Benjamin Nagengast

    University of Tübingen, Germany

    1 publications · 69 citations

    1

    h-index

  5. WO
    Walid O. Shekim

    University of Missouri, United States

    1 publications · 306 citations

    1

    h-index

1–5 of 26

Venues

  1. Géotechnique

    2 publications · 72 citations

    2

    h-index

  2. Journal of the American Medical Directors Association

    JAMDA · 1 publications · 25 citations

    1

    h-index

  3. Comprehensive Psychiatry

    1 publications · 306 citations

    1

    h-index

  4. Psychological Methods

    1 publications · 19 citations

    1

    h-index

  5. The Journals of Gerontology Series B

    1 publications · 72 citations

    1

    h-index

1–5