Estimation of Clustering Parameters Using Gaussian Process Regression

We propose a method for estimating the clustering parameters in a Neyman-Scott Poisson process using Gaussian process regression. It is assumed that the underlying process has been observed within a number of quadrats, and from this sparse information the distribution is modelled as a Gaussian proce...

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Detalles Bibliográficos
Autores principales: Rigby, Paul, Pizarro, Oscar, Williams, Stefan B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4226493/
https://www.ncbi.nlm.nih.gov/pubmed/25383766
http://dx.doi.org/10.1371/journal.pone.0111522

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4226493/
https://www.ncbi.nlm.nih.gov/pubmed/25383766
http://dx.doi.org/10.1371/journal.pone.0111522

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