Global approaches to identifiability testing for linear and nonlinear state space models
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DOI: 10.1016/0378-4754(82)90645-0
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Cited by:
- Kocięcki, Andrzej & Kolasa, Marcin, 2023.
"A solution to the global identification problem in DSGE models,"
Journal of Econometrics, Elsevier, vol. 236(2).
- Andrzej Kocięcki & Marcin Kolasa, 2022. "A solution to the global identification problem in DSGE models," Working Papers 2022-01, Faculty of Economic Sciences, University of Warsaw.
- Andrzej Kocięcki & Marcin Kolasa, 2023. "A solution to the global identification problem in DSGE models," KAE Working Papers 2023-083, Warsaw School of Economics, Collegium of Economic Analysis.
- Necibe Tuncer & Kia Ghods & Vivek Sreejithkumar & Adin Garbowit & Mark Zagha & Maia Martcheva, 2024. "Validation of a Multi-Strain HIV Within-Host Model with AIDS Clinical Studies," Mathematics, MDPI, vol. 12(16), pages 1-20, August.
- Walter, Eric & Pronzato, Luc, 1996. "On the identifiability and distinguishability of nonlinear parametric models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 42(2), pages 125-134.
- Walter, E. & Piet-Lahanier, H. & Happel, J., 1986. "Estimation of non-uniquely identifiable parameters via exhaustive modeling and membership set theory," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 28(6), pages 479-490.
- Alejandro F. Villaverde, 2019. "Observability and Structural Identifiability of Nonlinear Biological Systems," Complexity, Hindawi, vol. 2019, pages 1-12, January.
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