Bayesian Product Partition Models
Bayesian Product Partition Models
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贝叶斯积划分模型
DOI：
10.1002/9781118445112.stat08123
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
G. Page
中科院分区：
文献类型：
--
作者：
F. Quintana;R. Loschi;G. Page
产品划分模型是一类概率分布，其支持是有限实验单元集合的所有可能划分的集合。对于贝叶斯推理，此类分布可以用作分区的先验分布，其突出特征是其乘积形式。我们从贝叶斯的角度回顾了如何在建模中使用此类概率分布。可交换模型和不可交换模型都被考虑，以及许多有助于在先验中合并协变量依赖性的扩展。
Product partition models are a class of probability distributions whose support is the set of all possible partitions of a finite collection of experimental units. For Bayesian inference, this class of distributions can be used as a prior distribution on partitions whose prominent feature is its product form. We review how this class of probability distributions can be employed in modeling from a Bayesian perspective. Both exchangeable and nonexchangeable models are considered as well as a number of extensions that facilitate incorporating covariate dependence in the prior.
影响因子：
0.9
作者：
Muellner, Peter;Quintana, Fernando
通讯作者：
Quintana, Fernando