Principles of Bayesian Inference Using General Divergence Criteria

When it is acknowledged that all candidate parameterised statistical models are misspecified relative to the data generating process, the decision maker (DM) must currently concern themselves with inference for the parameter value minimising the Kullback–Leibler (KL)-divergence between the model and...

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Detalles Bibliográficos
Autores principales: Jewson, Jack, Smith, Jim Q., Holmes, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512964/
https://www.ncbi.nlm.nih.gov/pubmed/33265532
http://dx.doi.org/10.3390/e20060442

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512964/
https://www.ncbi.nlm.nih.gov/pubmed/33265532
http://dx.doi.org/10.3390/e20060442

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