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.
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Identification in Parametric Models
Thomas J. Rothenberg · Econometrica · 1971 · 1.1K citations
On global identifiability for arbitrary model parametrizations
Lennart Ljung, Torkel Glad · Automatica · 1994 · 639 citations
On Identifiability of Nonlinear ODE Models and Applications in Viral Dynamics
Hongyu Miao, Xiaohua Xia, Alan S. Perelson et al. · SIAM Review · 2011 · 624 citations · Full text
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Consejo Superior de Investigaciones Científicas, Spain
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University of Warwick
Coventry, United Kingdom
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53 publications
2.3K citations
Columbia University
New York, United States
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14 publications
1K citations

University of Padua
Padua, Italy
10 h-index
14 publications
1.8K citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
18 publications
1.1K citations
University of Michigan
Ann Arbor, United States
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895 citations

University of Minnesota
Minneapolis, United States
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15 publications
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Universidade de Vigo
Vigo, Spain
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University of California, Berkeley
Berkeley, United States
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13 publications
985 citations
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Repository · 19 publications · 556 citations
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