Identifiability Problem

The "Identifiability Problem" is a methodological challenge in statistical modeling, specifically within age-period-cohort analysis, that arises when distinct combinations of age, period, and cohort effects produce identical observed outcomes, thereby preventing unique estimation of each effect due to their linear interdependency.

494

Publications

33.4K

Citations

1K

Authors

497

Institutions

Publications per year

2017–2026

127

Authors

1K

  1. JR
    Julio R. Banga

    Consejo Superior de Investigaciones Científicas, Spain

    12 publications · 1.5K citations

    12

    h-index

  2. AF
    Alejandro F. Villaverde

    Universidade de Vigo, Spain

    12 publications · 1K citations

    12

    h-index

  3. MJ
    Michael J. Chappell

    University of Warwick, United Kingdom

    13 publications · 682 citations

    12

    h-index

  4. ND
    Neil D. Evans

    University of Warwick, United Kingdom

    10 publications · 348 citations

    10

    h-index

  5. KG
    K.R. Godfrey

    University of Warwick, United Kingdom

    9 publications · 428 citations

    9

    h-index

1–5 of 1K

Venues

  1. Mathematical Biosciences

    19 publications · 1.2K citations

    18

    h-index

  2. IEEE Transactions on Automatic Control

    18 publications · 1.7K citations

    16

    h-index

  3. arXiv (Cornell University)

    Repository · 19 publications · 556 citations

    14

    h-index

  4. IEEE Transactions on Signal Processing

    15 publications · 1.7K citations

    14

    h-index

  5. Journal of the American Statistical Association

    13 publications · 1.7K citations

    13

    h-index

1–5