9th Conference on Bayesian Nonparametrics
9th Conference on Bayesian Nonparametrics
批准号:
1262034
负责人:
Subhashis Ghoshal
金额:
$2.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-04-01 至 2014-03-31
中文摘要
第九届贝叶斯非参数计量学会议将于2013年6月10日至14日在荷兰阿姆斯特丹举行。贝叶斯非参数统计已发展成为现代统计学中发展最快的研究领域之一。它的应用领域包括遗传学、金融学、生存分析、社会学、网络和机器学习。这次会议是世界各地致力于贝叶斯非参数学理论、方法论和所有类型应用的研究人员最重要的会议。这笔赠款支持目前在美国机构工作的初级研究人员(研究生、博士后研究人员和初级教员通常在完成其终端学位后的三年内)参加会议。参加这次会议对于从事这一领域工作的初级研究人员来说至关重要。这次会议的主要目的是聚集使用贝叶斯非参数技术的专家和年轻的研究人员,以及理论家和实践者。这次会议有一个结构良好的平衡计划,涵盖了主题的各个领域。会议的科学委员会由贝叶斯非参数计量学及相关主题方面的国际知名专家组成。会议将包括四次全会概述会议、四十二次特邀会议、六次专题演讲和一次专题讨论会。许多受邀演讲者,包括一名全体演讲者,都是女性。为无法获得其他资金来源的初级研究人员提供支持,让他们参加在统计科学这一增长最快的领域工作的科学家的重要国际会议,是保持美国机构在这一领域目前的领导地位的关键。过去,这些讲习班的特点总是气氛融洽,特别是对初级研究人员的支持。会议将包括一系列特别设计的活动,以最大限度地调动年轻研究人员的积极参与,并为他们提供与其他年轻研究人员和更资深的同事进行互动的许多机会。会议还将为美国研究人员提供与来自欧洲、亚洲和拉丁美洲等世界其他地区的顶尖研究人员交流想法的机会。此外,会议将为青年研究人员提供广泛传播其工作成果的机会,不仅通过投稿的演讲和海报,而且还通过促进发表同行评议的论文和拟由主要出版商出版的会议卷。广泛的海报会议和一些演讲的空位是特别为年轻研究人员保留的。高度鼓励妇女和少数民族在旅行支助的帮助下参加会议。
英文摘要
The 9th Conference on Bayesian Nonparametrics is going to be held in Amsterdam, The Netherlands, from June 10 to 14, 2013. Bayesian nonparametrics has evolved as one of the fastest growing areas of research in modern statistics. Its applications areas include genetics, finance, survival analysis, sociology, networks and machine learning. The conference is the most important meeting of researchers working in theory, methodology and all types of applications of Bayesian nonparametrics all over the world. This grant supports junior researchers currently working in U.S. institutions (graduate students, postdoctoral researchers and junior faculty generally within three years of completion of their terminal degree) to participate in the conference. Participation in this meeting is critical for junior researchers working in this area. The primary objective of this conference is to bring together experts and young researchers, as well as theoreticians and practitioners, who use Bayesian nonparametric techniques. The conference has a well-structured balanced program covering various areas of the subject. The scientific committee of the conference consists of renowned international experts on Bayesian nonparametrics and related topics. The meeting will include four overview plenary talks, forty-two invited talks, six contributed talks and a contributed poster session. Many of the invited speakers including a plenary speaker are women.Providing support for junior researchers who do not have access to other sources of funding to attend the important international gathering of scientists working on one of the fastest growing areas of statistical sciences is key to maintaining the current leadership of American institutions in this field. These workshops in the past were always characterized by a congenial atmosphere particularly supportive of junior researchers. The conference will include a series of activities especially designed to maximize the active participation of young researchers and to provide them with many opportunities for interaction with other young researchers and with more senior colleagues. The conference will also provide American researchers opportunity to exchange ideas with leading researchers from elsewhere in the world such as Europe, Asia and Latin America. In addition, the conference will provide opportunities for young researchers to disseminate widely the results of their work, not only through contributed talks and posters, but also by facilitating the publication of peer-reviewed papers and a proposed conference volume to be published by a leading publisher. The extensive poster session and some slots for contributed talks are especially reserved for young researchers. Women and minorities are highly encouraged to take part in the conference with the help from the travel support.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: Novel modeling and Bayesian analysis of high-dimensional time series
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批准号:2210280
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项目类别:Standard Grant
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资助金额:$18.0万
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财政年份:2022
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负责人:Subhashis Ghoshal
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依托单位:
Optimal Bayesian Inference Under Shape Restrictions
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批准号:1916419
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项目类别:Standard Grant
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资助金额:$20.0万
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财政年份:2019
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负责人:Subhashis Ghoshal
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依托单位:
Bayesian estimation and uncertainty quantification for high dimensional data
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批准号:1510238
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项目类别:Continuing Grant
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资助金额:$20.0万
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财政年份:2015
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负责人:Subhashis Ghoshal
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依托单位:
10th Conference on Bayesian Nonparametrics
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批准号:1507428
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项目类别:Standard Grant
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资助金额:$1.5万
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财政年份:2015
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负责人:Subhashis Ghoshal
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依托单位:
2011 International Conference on Probability, Statistics and Data Analysis (2011-ICPSDA)
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批准号:1105469
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项目类别:Standard Grant
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资助金额:$2.0万
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财政年份:2011
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负责人:Subhashis Ghoshal
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依托单位:
Bayesian methods for structure detection in analysis of object data
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批准号:1106570
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项目类别:Continuing Grant
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资助金额:$25.0万
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财政年份:2011
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负责人:Subhashis Ghoshal
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依托单位:
Collaborative Research: Detecting false discoveries under dependence using mixtures
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批准号:0803540
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项目类别:Standard Grant
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资助金额:$6.0万
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财政年份:2008
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负责人:Subhashis Ghoshal
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依托单位:
CAREER: Default Bayesian Methods for Nonparametric Problems
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批准号:0349111
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项目类别:Continuing Grant
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资助金额:$40.0万
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财政年份:2004
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负责人:Subhashis Ghoshal
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依托单位:
海外基金