A gentle tutorial on accelerated parameter and confidence interval estimation for hidden Markov models using Template Model Builder

A very common way to estimate the parameters of a hidden Markov model (HMM) is the relatively straightforward computation of maximum likelihood (ML) estimates. For this task, most users rely on user‐friendly implementation of the estimation routines via an interpreted programming language such as th...

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Detalles Bibliográficos
Autores principales: Bacri, Timothée, Berentsen, Geir D., Bulla, Jan, Hølleland, Sondre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Statistical Modeling
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9796807/
https://www.ncbi.nlm.nih.gov/pubmed/35621152
http://dx.doi.org/10.1002/bimj.202100256

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9796807/
https://www.ncbi.nlm.nih.gov/pubmed/35621152
http://dx.doi.org/10.1002/bimj.202100256

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