Mathematical Sciences: Second International Workshop on Bayesian Robustness; May, 1995; Rimini, Italy
Mathematical Sciences: Second International Workshop on Bayesian Robustness; May, 1995; Rimini, Italy
批准号:
9502157
负责人:
Larry Wasserman
金额:
$1.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1995
资助国家:
美国
项目状态:
已结题
起止时间:
1995-04-01 至 1996-03-31
中文摘要
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英文摘要
The purpose of this conference is to bring together experts in the area of robust Bayesian inference to discuss applications, recent methodological developments and theory. Of particular interest are practical methods for implementing the theory such as those that exploit recent advances in statistical computing. Among the topics to be discussed at the workshop are: robust Bayesian methods in biostatistics, local sensitivity, hierarchical models, dynamic graphics, Bayes factros, density estimation and time series. The term ``Bayesian statistics'' refers to a class of data analysis techniques based on probability theory . These techniques are very general and have been successfully used in such diverse areas as quality control, engineering, psychology, medicine, environmental sciences and astrophysics. But applications of Bayesian methods to science and technology have been hindered since Bayesian analysis often requires the use of certain simplifying assumptions. ``Bayesian robustness'' is concerned with developing techniques for understanding how scientific conclusions depend on the assumptions that are used by statisticians when analyzing the data. Bayesian robustness is crucial for the successful development of practical Bayesian data analysis methods. It is a relatively new, quickly growing area and hence it difficult for researchers -- especially young researchers -- to meet and stay in touch with the latest ideas. The objective of the workshop is to draw together researchers to discuss the latest advances in this field. LEVEL OF EFFORT STATEMENT The recommended level of support for this conference, though slightly lower than what we had hoped for, is still substantial and, together with the funds provided by the Italian government, we expect to produce a high quality workshop. Indeed, preparations for the conference are in progress and many top researchers have already indicated their intention to participate. Furthermore, the Institute of Mathematical Statistics has indicated that it is likely they will publish the proceedings in their Lecture Note series. We will make every effort to ensure a successful conference.
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Statistical Inference for Optimal Transport
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批准号:2310632
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资助金额:$60.0万
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财政年份:2023
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负责人:Larry Wasserman
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依托单位:
Complex Statistical Models: Theory and Methodology for Scientific Applications
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批准号:0104016
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项目类别:Continuing Grant
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资助金额:$39.0万
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负责人:Larry Wasserman
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依托单位:
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批准号:9357646
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项目类别:Continuing Grant
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资助金额:$27.5万
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财政年份:1993
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负责人:Larry Wasserman
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依托单位:
国内基金
海外基金
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