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Efficient and automatic methods for flexible regression on spatiotemporal data, with applications to groundwater monitoring
Fitting statistical models to spatiotemporal data requires finding the right balance between imposing smoothness and following the data. In the context of P‐splines, we propose a Bayesian framework for choosing the smoothing parameter, which allows the construction of fully automatic data‐driven met...
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| 出版年: | Environmetrics |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
John Wiley and Sons Inc.
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4744788/ https://ncbi.nlm.nih.gov/pubmed/26900339 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/env.2347 |
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