图 书 馆
回顾性的变化点的方法和时序建模Retrospective Change-point Approaches and Sequential Modelling |
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| 课程网址: | http://videolectures.net/nipsworkshops09_xing_rcpasm/ |
| 主讲教师: | Haipeng Xing |
| 开课单位: | 纽约州立大学 |
| 开课时间: | 2011-01-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We propose for the analysis of array-CGH data, a new stochastic segmentation model and an associated estimation procedure that has attractive statistical and computational properties. An important bene fit of this Bayesian segmentation model is that it yields explicit formulas for posterior means, which can be used to estimate the signal directly without performing segmentation. Other quantities relating to the posterior distribution that are useful for providing confi dence assessments of any given segmentation can also be estimated by using our method. We propose an approximation method whose computation time is linear in sequence length which makes our method practically applicable to the new higher density arrays. Simulation studies and applications to real array-CGH data illustrate the advantages of the proposed approach. |
| 关 键 词: | CGH数据分析; 随机分割模型; 贝叶斯分割模型; 时序建模 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-14：yumf |
| 阅读次数: | 41 |