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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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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2008
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| 主題: | |
| オンライン･アクセス: | 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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