Knowledge Commons of Institute of Automation,CAS
Set-valued system identification methods in retrospective cohort study and applications to GWAS | |
Hang, Zhang; Wenjian Bi; Yanlong Zhao; Long Cheng![]() | |
2017 | |
会议名称 | 20th World Congress of the International-Federation-of-Automatic-Control (IFAC) |
会议日期 | JUL 09-14, 2017 |
会议地点 | Toulouse |
会议举办国 | France |
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. |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23126 |
专题 | 复杂系统认知与决策实验室_先进机器人 |
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],2017. |
条目包含的文件 | 条目无相关文件。 |
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