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

斯坦福大学的亚瑟·欧文博士和澳大利亚国立大学的彼得·霍尔博士将在该奖项的部分支持下，在计算机密集型统计的几个领域开展合作研究。其中一个领域涉及比较使用自举法和其他非参数推理统计方法与在遗传学等领域使用分析技术的效率。此外，计算问题在复杂统计将被研究，因为他们适用于确定参数在多元回归模型。该项目代表了澳大利亚和美国研究人员在计算机密集型统计方法领域的优秀合作。美国研究人员将可以进入霍尔博士的小组，以及邦德大学（Bond University）和新南威尔士大学（University of New South Wales）类似的卓越中心。预计该项目将产生新的算法和对这些统计方法更好的理论理解，以及这些改进的技术在遗传学和其他需要回归模型的领域的潜在应用。

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.