Mathematical Sciences: Bayesian Inference in Agricultural Field Experiments

数学科学：农业田间实验中的贝叶斯推理

• 批准号: 9114402
• 负责人: Julian Besag
• 金额: $ 5.24万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-09-15 至 1993-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9114402&HistoricalAwards=false
• 关键词: Mathematical; Sciences; Bayesian; Inference; Agricultural

This research draws on ideas from spatial statistics and from Bayesian image analysis to devise experimental designs for agricultural field experiements or other experiments on experimental material that can be thought of as lying on a map. This research has wider implications for mapping of incidence, for representation of patterns, and for robustness of Bayesian inference particularly in the presence of spatial correlations.

这项研究借鉴了空间统计学和贝叶斯图像分析的思想，为农业田间试验或可以被认为躺在地图上的实验材料上的其他实验设计了实验设计。这项研究对关联的映射、模式的表示以及贝叶斯推理的稳健性有更广泛的影响，特别是在存在空间相关性的情况下。