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Multivariate spatial nonparametric modelling via kernel processes mixing
In this paper we develop a nonparametric multivariate spatial model that avoids specifying a Gaussian distribution for spatial random effects. Our nonparametric model extends the stick-breaking (SB) prior of Sethuraman (1994), which is frequently used in Bayesian modelling to capture uncertainty in...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3858969/ https://ncbi.nlm.nih.gov/pubmed/24347994 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5705/ss.2011.172 |
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