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个人简介
Professor Rue's research interests lie in computational Bayesian statistics and Bayesian methodology such as priors, sensitivity and robustness. His main body of research is built around the R-INLA project , which aims to provide a practical tool for approximate Bayesian analysis of latent Gaussian models, often at extreme data scales. This project also includes efforts to use stochastic partial differential equations to represent Gaussian fields, for the use in spatial statistics.
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论文共 304 篇作者统计合作学者相似作者
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JOURNAL OF MACHINE LEARNING RESEARCH (2024): 1-25
ECONOMETRICS AND STATISTICS (2024): 15-35
STATISTICAL SCIENCEno. 1 (2024): 46-61
arxiv(2024)
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ROYAL SOCIETY OPEN SCIENCEno. 1 (2024): 230851-230851
Statistics in medicine (2024)
arxiv(2024)
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Spatial Statisticspp.100843, (2024)
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2024)
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