Statistical inference in mechanistic models: time warping for improved gradient matching

Inference in mechanistic models of non-linear differential equations is a challenging problem in current computational statistics. Due to the high computational costs of numerically solving the differential equations in every step of an iterative parameter adaptation scheme, approximate methods base...

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Detalles Bibliográficos
Autores principales: Niu, Mu, Macdonald, Benn, Rogers, Simon, Filippone, Maurizio, Husmeier, Dirk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560940/
https://www.ncbi.nlm.nih.gov/pubmed/31258254
http://dx.doi.org/10.1007/s00180-017-0753-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560940/
https://www.ncbi.nlm.nih.gov/pubmed/31258254
http://dx.doi.org/10.1007/s00180-017-0753-z

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