主 题: | Robust t-Process Functional ANOVA Model |
内容简介: |
Gaussian process regression model has already been used to fit data widely, and lots of its nice properties have been proved. In this talk, we combine a robust extended t-process with a Gaussian process in ANOVA functional model. Because of the extended t-process model’s clear construction, it inherits a lot of pretty properties from the GPR model. In this talk, robust property and information consistency of the Robust t-process functional ANOVA model are discussed. Simulation and real data studies present that the model has a robust fit about data and a good ability to predict it,compared with other functional methods.
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报告人: | 吴耀华 教授、博导
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时 间: | 2017-12-04 09:30 |
地 点: | 竞慧东楼302室 |
举办单位: | 理学院、统计科学与大数据研究院、科研部 |