Profile Likelihood for Hierarchical Models Using Data Doubling

In scientific problems, an appropriate statistical model often involves a large number of canonical parameters. Often times, the quantities of scientific interest are real-valued functions of these canonical parameters. Statistical inference for a specified function of the canonical parameters can b...

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Detalles Bibliográficos
Autor principal: Lele, Subhash R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530212/
https://www.ncbi.nlm.nih.gov/pubmed/37761561
http://dx.doi.org/10.3390/e25091262

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530212/
https://www.ncbi.nlm.nih.gov/pubmed/37761561
http://dx.doi.org/10.3390/e25091262

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