Mathematical Sciences: Computer Science and Statistics: Opportunities at the Interface

本研究旨在将超级计算、并行架构、多元图形、模拟和随机过程的最新和预期进展应用于开发新的和改进的方法来解决大规模统计问题。这样的一个例子是找到大规模最小二乘问题的有效解决方案。该奖项旨在支持收集和传播统计学和计算机科学领域之间的科学发现。这两个字段之间的接口上的活动并不新鲜。但是，由于这两个领域的迅速发展，这项活动的性质迅速演变，并不断变化。传播这些科学发现将有助于促进统计方法的发展，以满足现代科学实验模式的新要求。

This research aims to bring recent and anticipated advances in supercomputing, parallel architectures, multivariate graphics, simulation and stochastic processes to bear on developing new and improved methods for solving large-scale statistical problems. An example of such is finding efficient solutions to large-scale least squares problems. This award is to support the collection and dissemination of scientific findings on the interface between the fields of statistics and computer science. Activity at the interface between these two fields is not new. But because of the rapid advances in both fields, the nature of this activity has evolved rapidly and is constantly changing. Dissemination of these scientific findings will help stimulate the development of statistical methods to meet the new requirements of modern modes of scientific experimentation.