Assessing Search and Unsupervised Clustering Algorithms in Nested Sampling

Nested sampling is an efficient method for calculating Bayesian evidence in data analysis and partition functions of potential energies. It is based on an exploration using a dynamical set of sampling points that evolves to higher values of the sampled function. When several maxima are present, this...

Descripción completa

Detalles Bibliográficos
Autores principales: Maillard, Lune, Finocchi, Fabio, Trassinelli, Martino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955770/
https://www.ncbi.nlm.nih.gov/pubmed/36832713
http://dx.doi.org/10.3390/e25020347

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955770/
https://www.ncbi.nlm.nih.gov/pubmed/36832713
http://dx.doi.org/10.3390/e25020347

Ejemplares similares