图 书 馆
为列联表分析的贝叶斯组套索The Bayesian Group-Lasso for Analyzing Contingency Tables |
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| 课程网址: | http://videolectures.net/icml09_raman_bgl/ |
| 主讲教师: | Sudhir Raman |
| 开课单位: | 巴塞尔大学 |
| 开课时间: | 2009-08-26 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Group-Lasso estimators, useful in many applications, suffer from lack of meaningful variance estimates for regression coefficients. To overcome such problems, we propose a full Bayesian treatment of the Group-Lasso, extending the standard Bayesian Lasso, using hierarchical expansion. The method is then applied to Poisson models for contingency tables using a highly efficient MCMC algorithm. The simulated experiments validate the performance of this method on artificial datasets with known ground-truth. When applied to a breast cancer dataset, the method demonstrates the capability of identifying the differences in interactions patterns of marker proteins between different patient groups. |
| 关 键 词: | 组套索估计; 回归系数; 方差估计; 贝叶斯套索 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-12-07：lxf |
| 阅读次数: | 63 |