Generic Identifiability
Generic Identifiability is a type of model identifiability in which the parameters of a statistical or mathematical model are uniquely determined by the observed data distribution for almost all parameter values, except possibly on a set of Lebesgue measure zero within the parameter space.
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2017–2026
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Joseph H. A. Guillaume, John Jakeman, Stefano Marsili-Libelli et al. · Environmental Modelling & Software · 2019 · 200 citations · Full text
The Microeconomics of Efficient Group Behavior: Identification
Econometrica · 2009 · 145 citations
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Eindhoven University of Technology
Eindhoven, The Netherlands
4 h-index
11 publications
199 citations
University of Washington
Seattle, United States
2 h-index
4 publications
50 citations

Australian National University
Canberra, Australia
2 h-index
6 publications
840 citations
University of Florence
Florence, Italy
2 h-index
2 publications
215 citations
University of Cambridge
Cambridge, United Kingdom
2 h-index
2 publications
40 citations
Institut für Höhere Studien - Institute for Advanced Studies (IHS)
Vienna, Austria
1 h-index
1 publications
20 citations

University of Groningen
Groningen, The Netherlands
1 h-index
3 publications
45 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
3 publications
36 citations
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3 publications · 287 citations
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2 publications · 214 citations
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2 publications · 494 citations
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Repository · 1 publications · 34 citations
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1 publications · 12 citations
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