主 题：贝叶斯变量选择及其在经济大数据中的应用兼谈美国高校研究生招生
内容简介：
In this talk, we consider Bayesian variable selection in linear regression models with related predictors. We propose a generalized singular g-prior for the unknown parameters, which results in a closed-form expression of the marginal posterior distribution. A special prior on the model space is adopted to reflect and maintain the hierarchical relationships among predictors. It is shown that the proposed approach is consistent in terms of model selection and prediction. Simulation studies and real data application are considered for illustrative purposes.
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报告人：汪敏 助理教授 博导
时 间:2015-05-20 15:00
地 点：竟慧西楼205
举办单位：理学院 科研与研究生部
