Set-valued system identification methods in retrospective cohort study and applications to GWAS
文献类型：会议论文
| 作者 | Hang, Zhang; Wenjian Bi; Yanlong Zhao; Long Cheng
|
| 出版日期 | 2017 |
| 会议日期 | JUL 09-14, 2017 |
| 会议地点 | Toulouse |
| 国家 | France |
| 英文摘要 | This paper considers the set-valued system identification in retrospective cohort study and proposes several novel methods based on retrospective likelihood function. We theoretically analyze the difference between retrospective likelihood and traditional prospective likelihood. A general framework is proposed for set-valued system identification in retrospective cohort study and applied to two common problems in Genome-Wide Association Studies(GWAS). Extensive simulations show that new methods perform better than traditional methods in terms of parameter estimation errors. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/23126]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 推荐引用方式 GB/T 7714 | Hang, Zhang,Wenjian Bi,Yanlong Zhao,et al. Set-valued system identification methods in retrospective cohort study and applications to GWAS[C]. 见:. Toulouse. JUL 09-14, 2017. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。