Monte Carlo profile confidence intervals for dynamic systems

Monte Carlo methods to evaluate and maximize the likelihood function enable the construction of confidence intervals and hypothesis tests, facilitating scientific investigation using models for which the likelihood function is intractable. When Monte Carlo error can be made small, by sufficiently ex...

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Detalles Bibliográficos
Autores principales: Ionides, E. L., Breto, C., Park, J., Smith, R. A., King, A. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2017
Materias:
Life Sciences–Mathematics interface
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5550967/
https://www.ncbi.nlm.nih.gov/pubmed/28679663
http://dx.doi.org/10.1098/rsif.2017.0126

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5550967/
https://www.ncbi.nlm.nih.gov/pubmed/28679663
http://dx.doi.org/10.1098/rsif.2017.0126

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