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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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Foilsithe in:J R Stat Soc Series B Stat Methodol
Main Authors: Shand, Lyndsay, Li, Bo, Park, Trevor, Albarracín, Dolores
Formáid: Artigo
Teanga:Inglês
Foilsithe: 2018
Ábhair:
Rochtain Ar Líne: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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