图 书 馆
狄利克雷过程广义线性模型的混合物Dirichlet process mixtures of generalised linear models |
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| 课程网址: | http://videolectures.net/aistats2010_hannah_dpmog/ |
| 主讲教师: | Lauren A. Hannah |
| 开课单位: | 普林斯顿大学 |
| 开课时间: | 2010-05-20 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We propose Dirichlet Process mixtures of Generalized Linear Models (DP-GLMs), a new method of nonparametric regression that accommodates continuous and categorical inputs, models a response variable locally by a generalized linear model. We give conditions for the existence and asymptotic unbiasedness of the DP-GLM regression mean function estimate; we then give a practical example for when those conditions hold. We evaluate DP-GLM on several data sets, comparing it to modern methods of nonparametric regression including regression trees and Gaussian processes. |
| 关 键 词: | 狄利克雷; 广义线性模型; 混合物 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-10-31：lxf |
| 阅读次数: | 52 |