Approximate Bayesian Computation for Discrete Spaces

Many real-life processes are black-box problems, i.e., the internal workings are inaccessible or a closed-form mathematical expression of the likelihood function cannot be defined. For continuous random variables, likelihood-free inference problems can be solved via Approximate Bayesian Computation...

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Detalles Bibliográficos
Autores principales: Auzina, Ilze A., Tomczak, Jakub M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7998962/
https://www.ncbi.nlm.nih.gov/pubmed/33800743
http://dx.doi.org/10.3390/e23030312

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7998962/
https://www.ncbi.nlm.nih.gov/pubmed/33800743
http://dx.doi.org/10.3390/e23030312

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