CBMS Regional Conference in the Mathematical Sciences - Bayesian Nonparametric Statistical Methods: Theory and Applications - Summer 2010
CBMS Regional Conference in the Mathematical Sciences - Bayesian Nonparametric Statistical Methods: Theory and Applications - Summer 2010
批准号:
0938769
负责人:
Abel Rodriguez
金额:
$3.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-01-01 至 2010-12-31
中文摘要
主要研究人员将组织一个为期五天的会议,重点是贝叶斯非参数统计方法的理论和应用,德克萨斯大学医学博士Peter Muller博士将参加会议。安德森癌症中心担任首席讲师。穆勒博士将提供总共十个两小时的讲座(每天两个),这将是由四个两小时的邀请讲座补充。会议将于2010年8月16日至20日在圣克鲁斯的加州大学校园举行。会议将汇集贝叶斯非参数学这一快速发展领域的主要思想和最新成果,并将绘制未来的研究方向。贝叶斯非参数方法构成了统计科学中一个极其重要和及时的研究领域,其最近引起了极大的兴趣,并开始在多个应用领域中广泛使用。然而,在过去的十年中,贝叶斯非参数化领域的突然增长导致了文献的分散和混乱的新人,强加了一个陡峭的进入壁垒。这次会议将有助于缓解这一问题。特别是,我们希望它将有助于吸引新的研究人员贝叶斯nonparametrics领域提供了一个组织良好的介绍这一重要的研究领域。此外,考虑到会议的区域重点,我们预计它将加强美国西部贝叶斯非参数方法工作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。
英文摘要
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.
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会议论文
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海外基金