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Bayesian nonparametric regression with varying residual density

We consider the problem of robust Bayesian inference on the mean regression function allowing the residual density to change flexibly with predictors. The proposed class of models is based on a Gaussian process prior for the mean regression function and mixtures of Gaussians for the collection of re...

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Detalhes bibliográficos
Main Authors: Pati, Debdeep, Dunson, David B.
Formato: Artigo
Idioma:Inglês
Publicado em: 2013
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3898864/
https://ncbi.nlm.nih.gov/pubmed/24465053
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10463-013-0415-z
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