Mean Shift Cluster Recognition Method Implementation in the Nested Sampling Algorithm

Nested sampling is an efficient algorithm for the calculation of the Bayesian evidence and posterior parameter probability distributions. It is based on the step-by-step exploration of the parameter space by Monte Carlo sampling with a series of values sets called live points that evolve towards the...

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Detalles Bibliográficos
Autores principales: Trassinelli, Martino, Ciccodicola, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516612/
https://www.ncbi.nlm.nih.gov/pubmed/33285961
http://dx.doi.org/10.3390/e22020185

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516612/
https://www.ncbi.nlm.nih.gov/pubmed/33285961
http://dx.doi.org/10.3390/e22020185

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