Mathematical Sciences: Statistical Graphics: Diagnostics andInference

将探索在统计问题中使用实时的、计算密集的图形方法作为诊断程序。高维回归问题中的残差问题将通过限制大旅行的方法进行研究。创新的计算程序，如切片回归以找到结构将被研究。这个过程是半参数的，而不是非参数的，并承诺在满足一些基本假设的情况下产生有用的结果。此外，还将在高维问题中探索新的不确定性图形总结。

The use of real time, computationally intensive graphical methods as diagnostical procedures in statistical problems will be explored. Residuals in high dimensional regression problems will be studied by means of restricted grand tours. Innovative computational procedures such as slicing regressions to find structure will be examined. This procedure is semiparametric rather than nonparametric and promises to yield useful results when a few basic assumptions are satisfied. Furthermore novel graphical summaries of uncertainty will be explored in high dimensional problems.