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Spatially varying auto‐regressive models for prediction of new human immunodeficiency virus diagnoses
In demand of predicting new HIV diagnosis rates based on publicly available HIV data that is abundant in space but has few points in time, we propose a class of spatially varying autoregressive (SVAR) models compounded with conditional autoregressive (CAR) spatial correlation structures. We then pro...
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| 發表在: | J R Stat Soc Series B Stat Methodol |
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| Main Authors: | , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2018
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6404983/ https://ncbi.nlm.nih.gov/pubmed/30853848 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssc.12269 |
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