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A hybrid symbolic-numerical method for determining model structure
Abstract
In this article, we present a method for determining whether a model is at least locally identifiable and in the case of non-identifiable models whether any of the parameters are individually at least locally identifiable. This method combines symbolic and numeric methods to create an algorithm that is extremely accurate compared to other numeric methods and computationally inexpensive. A series of generic computational steps are developed to create a method that is ideal for practitioners to use. The algorithm is compared to symbolic methods for two capture-recapture models and a compartment model.
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“In addition, there are also techniques available in the literature60, 61 to establish model parameter redundancy, which alongside structural identifiability analysis can support model reparameterization or lumping, should this be required.62”
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References 44 · Cited by 37
Research works printed but not linked: 34
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Metadata
- Authors
- Choquet, R., & Cole, D. J.
- Affiliations
- Centre d'Écologie Fonctionnelle et Évolutive (FR)
- University of Kent (GB)
- Corresponding author
- Choquet, R.
- Venue
- Mathematical Biosciences
- Publisher
- Elsevier BV
- Published
- 2012-04
- Volume
- 236
- Issue
- 2
- Pages
- 117-125
- ISSN
- 0025-5564 (ISSN-L)
- OpenAlex
- W2046587620
- Cited by
- 37
- References
- 44
- Citations by year
- 2023: 1 · 2022: 1 · 2021: 2 · 2020: 4 · 2019: 5 · 2018: 3 · 2017: 4 · 2016: 3 · 2015: 1 · 2014: 6 · 2013: 4 · 2012: 3
- FWCI
- 6.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Mathematical Biosciences (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Kent Academic Repository (University of Kent) (submittedVersion)
- Funders
- Royal Society
- Centre National de la Recherche Scientifique
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Physical Sciences › Mathematics › Applied Mathematics › Mathematical and Theoretical Epidemiology and Ecology Models
- Physical Sciences › Mathematics › Statistics and Probability › Census and Population Estimation
- Keywords
- model structure selection, local identifiability, parameter identifiability, capture-recapture models, compartmental model, parameter estimation
- MeSH terms
- Algorithms, Animals, Models, Biological, Predatory Behavior, Ecosystem
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