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Generalized Ordinary Differential Equation Models ()
Existing estimation methods for ordinary differential equation (ODE) models are not applicable to discrete data. The generalized ODE (GODE) model is therefore proposed and investigated for the first time. We develop the likelihood-based parameter estimation and inference methods for GODE models. We...
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| Publicado no: | J Am Stat Assoc |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4274811/ https://ncbi.nlm.nih.gov/pubmed/25544787 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2014.957287 |
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