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

首席研究人员将组织一个为期五天的会议，重点讨论贝叶斯非参数统计方法的理论和应用，德克萨斯大学M.D.安德森癌症中心的彼得·穆勒博士将担任首席讲师。穆勒博士总共将发表十场两小时的讲座(每天两场)，另外还将有四场两小时的特邀讲座。这次会议将于2010年8月16日至20日在加州大学圣克鲁斯分校举行。会议将汇集快速发展的贝叶斯非参数学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极其重要和及时的研究领域，最近引起了极大的兴趣，并开始在多个应用领域得到广泛应用。然而，在过去的十年里，贝叶斯非参数变换领域的突然增长导致了一部对新手来说是分散和令人困惑的文献，这给该领域设置了一个很高的进入壁垒。这次会议，将有助于缓解这一问题。特别是，我们预计它将通过提供对这一重要研究领域的良好组织介绍，帮助吸引新的研究人员进入贝叶斯非参数计量学领域。此外，考虑到会议的地区性重点，我们预计它将加强美国西部致力于贝叶斯非参数方法的多个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.