Mathematical Sciences: Bayesian Inference in Agricultural Field Experiments

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。

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.