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AKL-ABC: An Automatic Approximate Bayesian Computation Approach Based on Kernel Learning

Bayesian statistical inference under unknown or hard to asses likelihood functions is a very challenging task. Currently, approximate Bayesian computation (ABC) techniques have emerged as a widely used set of likelihood-free methods. A vast number of ABC-based approaches have appeared in the literat...

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Detalles Bibliográficos
Autores principales: González-Vanegas, Wilson, Álvarez-Meza, Andrés, Hernández-Muriel, José, Orozco-Gutiérrez, Álvaro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514265/
http://dx.doi.org/10.3390/e21100932