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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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| Publicado no: | Entropy (Basel) |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7512964/ https://ncbi.nlm.nih.gov/pubmed/33265532 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e20060442 |
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