Dynamic Latent Variable Models

Dynamic Latent Variable Models is a type of latent variable model that incorporates temporal dependencies to capture evolving latent structures over time, distinguishing it from static counterparts by explicitly modeling the dynamics of latent variables across sequential observations.

164

Publications

13.3K

Citations

431

Authors

244

Institutions

Publications per year

2017–2026

76

Authors

431

  1. SJ
    S. Joe Qin

    University of Southern California, United States

    9 publications · 702 citations

    9

    h-index

  2. JR
    John R. Nesselroade

    University of Virginia, United States

    4 publications · 222 citations

    4

    h-index

  3. YD
    Yining Dong

    City University of Hong Kong, Hong Kong SAR China

    4 publications · 293 citations

    4

    h-index

  4. PC
    Peter C. M. Molenaar

    Pennsylvania State University, United States

    4 publications · 213 citations

    4

    h-index

  5. JR
    Jean‐François Richard

    University of Pittsburgh, United States

    3 publications · 255 citations

    3

    h-index

1–5 of 431

Venues

  1. Structural Equation Modeling A Multidisciplinary Journal

    SEM · 9 publications · 1.4K citations

    9

    h-index

  2. SSRN Electronic Journal

    Repository · 9 publications · 730 citations

    9

    h-index

  3. arXiv (Cornell University)

    Repository · 5 publications · 919 citations

    6

    h-index

  4. Multivariate Behavioral Research

    MBR · 4 publications · 496 citations

    4

    h-index

  5. Journal of Business and Economic Statistics

    JBES · 3 publications · 133 citations

    3

    h-index

1–5