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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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| Gepubliceerd in: | J Am Stat Assoc |
|---|---|
| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2014
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| Onderwerpen: | |
| Online toegang: | 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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