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.
报告人: 吴耀华 教授 博导
时 间: 2017-12-04 09:30
地 点: 竞慧东楼302
举办单位: 理学院 统计科学与大数据研究院 科研部
