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Efficient algorithms for Bayesian Nearest Neighbor Gaussian Processes
We consider alternate formulations of recently proposed hierarchical Nearest Neighbor Gaussian Process (NNGP) models (Datta et al., 2016a) for improved convergence, faster computing time, and more robust and reproducible Bayesian inference. Algorithms are defined that improve CPU memory management a...
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| Publicado no: | J Comput Graph Stat |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6753955/ https://ncbi.nlm.nih.gov/pubmed/31543693 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2018.1537924 |
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