CBMS Regional Conference in the Mathematical Sciences - Bayesian Nonparametric Statistical Methods: Theory and Applications - Summer 2010

主要研究人员将组织为期五天的会议，重点讨论贝叶斯非参数统计方法的理论和应用，并邀请德克萨斯大学安德森癌症中心的Peter Muller博士担任主要讲师。穆勒博士将总共进行10次两小时的讲座（每天两次），并辅以4次两小时的受邀讲座。会议将于2010年8月16日至8月20日在加州大学圣克鲁斯分校举行。它将汇集快速发展的贝叶斯非参数领域的主要思想和最新成果，并将规划未来的研究方向。贝叶斯非参数方法是统计科学中一个非常重要和及时的研究领域，近年来引起了人们的极大兴趣，并开始在多个应用领域得到广泛应用。然而，在过去的十年中，贝叶斯非参数领域的突然增长导致了文献的分散和对新手的困惑，给这个领域施加了一个陡峭的进入壁垒。这次会议将有助于缓解这个问题。特别是，我们希望通过对贝叶斯非参数这一重要研究领域的组织良好的介绍，将有助于吸引新的研究人员进入贝叶斯非参数领域。此外，鉴于会议的区域重点，我们期望它将加强美国西部多个研究贝叶斯非参数方法的小组之间的联系和合作，包括加州大学欧文分校、加州大学圣克鲁斯分校、加州大学伯克利分校和华盛顿大学的小组。

The Principal Investigators will organize a five-day conference, focused on the theory and applications of Bayesian nonparametric statistical methods, that will feature Dr. Peter Muller of the University of Texas M.D. Anderson Cancer Center as a principal lecturer. Dr. Muller will deliver a total of ten two-hour lectures (two each day), which will be complemented by four two-hour invited lectures. The conference will be held at the campus of the University of California, Santa Cruz between August 16 and August 20, 2010.It will bring together the major ideas and recent results in the rapidly growing field of Bayesian nonparametrics, and will chart future directions for research.Bayesian nonparametric methods constitute an extremely important and timely area of research in the statistical sciences, which has recently generated enormous interest and is starting to become widely used in multiple areas of application. However, the sudden growth in the area of Bayesian nonparametricsover the last ten years has resulted in a literature that is scattered and confusing for newcomers, imposing a steep entry barrier into the field. This conference, will contribute to alleviate this problem. In particular, we expect that it will help attract new researchers to the field of Bayesian nonparametrics by providing a well organized introduction to this important research area. In addition, given the regional emphasis of the conference, we expect that it will strengthen the links and collaborations between multiple groups working on Bayesian nonparametric methods in the western United States, including groups at University of California, Irvine, University ofCalifornia, Santa Cruz, University of California, Berkeley, and University of Washington.