图 书 馆
粒子物理中的多元统计方法与数据挖掘Multivariate statistical methods and data mining in particle physics |
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| 课程网址: | http://videolectures.net/cernacademictraining08_cowan_msm/ |
| 主讲教师: | Glen Cowan |
| 开课单位: | 伦敦大学学院 |
| 开课时间: | 2010-09-17 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The lectures will cover multivariate statistical methods and their applications in High Energy Physics. The methods will be viewed in the framework of a statistical test, as used e.g. to discriminate between signal and background events. Topics will include an introduction to the relevant statistical formalism, linear test variables, neural networks, probability density estimation (PDE) methods, kernel-based PDE, decision trees and support vector machines. The methods will be evaluated with respect to criteria relevant to HEP analyses such as statistical power, ease of computation and sensitivity to systematic effects. Simple computer examples that can be extended to more complex analyses will be presented. |
| 关 键 词: | 多元统计方法; 高能物理; 统计测试; 统计形式; 线性测试变量; 神经网络; 概率密度估计(PDE)方法; 基于核的PDE; 决策树; 支持向量机 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-10-22：chenxin |
| 阅读次数: | 41 |