Dependent random measures in Bayesian Nonparametrics

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：harryvincent

【摘要】

：

【作者】

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Igor Pr(u)nster

【机构】

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Department of Decision Sciences and BIDSA,Bocconi University,20136 Milano,Italy

【出处】

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上海交通大学

【发表日期】

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2016年4期

【关键词】

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Bayesian Nonparametrics Completely random measures Hierarchical processes Nested

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　　Within the framework of partial exchangeability,we consider models based on dependent completely random measures(or suitable transformations thereof).Some of their marginal and conditional distributional properties are presented with focus on additive,hierarchical and nested constructions.

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Dependent random measures in Bayesian Nonparametrics

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