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Hierarchical Multiresolution Approaches for Dense Point-Level Breast Cancer Treatment Data
The analysis of point-level (geostatistical) data has historically been plagued by computational difficulties, owing to the high dimension of the nondiagonal spatial covariance matrices that need to be inverted. This problem is greatly compounded in hierarchical Bayesian settings, since these invers...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2008
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2344142/ https://ncbi.nlm.nih.gov/pubmed/19158942 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2007.09.011 |
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