Mathematical Sciences: Bayesian Inference in Agricultural Field Experiments

这项研究借鉴了空间统计学的思想， 从贝叶斯图像分析设计实验设计， 农业现场实验或其他实验 可以被认为是躺在地图上的实验材料。 这项研究对发病率的绘制具有更广泛的影响， 用于模式的表示，以及贝叶斯的鲁棒性 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.