On Finding and Using Identifiable Parameter Combinations in Nonlinear Dynamic Systems Biology Models and COMBOS: A Novel Web Implementation
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DOI: 10.1371/journal.pone.0110261
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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.
- Alejandro F Villaverde & Antonio Barreiro & Antonis Papachristodoulou, 2016. "Structural Identifiability of Dynamic Systems Biology Models," PLOS Computational Biology, Public Library of Science, vol. 12(10), pages 1-22, October.
- Maria Pia Saccomani & Karl Thomaseth, 2018. "The Union between Structural and Practical Identifiability Makes Strength in Reducing Oncological Model Complexity: A Case Study," Complexity, Hindawi, vol. 2018, pages 1-10, February.
- Masud M A & Md Hamidul Islam & Khondaker A. Mamun & Byul Nim Kim & Sangil Kim, 2020. "COVID-19 Transmission: Bangladesh Perspective," Mathematics, MDPI, vol. 8(10), pages 1-19, October.
- Alejandro F. Villaverde, 2019. "Observability and Structural Identifiability of Nonlinear Biological Systems," Complexity, Hindawi, vol. 2019, pages 1-12, January.
- Mario Castro & Rob J de Boer, 2020. "Testing structural identifiability by a simple scaling method," PLOS Computational Biology, Public Library of Science, vol. 16(11), pages 1-15, November.
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