U.S. - Australian Cooperative Research: Computer Intensive Statistics

在计算机的几个领域的合作研究- 将进行深入的统计， 来自斯坦福大学亚瑟欧文博士 大学和澳大利亚的Peter Hall博士 国立大学。 一个领域涉及比较 使用bootstrap和其他非参数的效率 推理统计方法与分析统计方法 在遗传学等领域的技术。 此外，本发明还提供了一种方法， 复杂统计中的计算问题将是 研究，因为它们适用于确定参数， 多元回归模型 该项目代表了 澳大利亚和美国的研究人员， 计算机密集型统计领域的专门知识 方法. 美国研究人员将获得 霍尔博士的小组，以及类似的中心， 邦德大学和纽泽西大学 南威尔士 新算法和更好的理论 希望了解这些统计方法 以及潜在的 这些改进的技术在遗传学上的应用 以及其他需要回归模型的领域。

Cooperative research in several areas of computer- intensive statistics will be undertaken with partial support from this award by Dr. Arthur Owen of Stanford University and Dr. Peter Hall of the Australian National University. One area involves comparing the efficiency of using bootstrap and other nonparametric inference statistical methods to that of using analytic techniques in areas such as genetics. In addition, computational issues in complicated statistics will be studied as they apply to determining parameters in multiple regression models. The project represents excellent collaboration between Australian and U.S. researchers with complementary expertise in the area of computer-intensive statistical methods. U.S. researchers will have access to Dr. Hall's group, as well as similar centers of excellence at Bond University and the University of New South Wales. New algorithms and better theoretical understanding of these statistical methods are expected to result from the project, as well as potential applications of these improved techniques to genetics and other areas requiring regression models.