CASIA OpenIR  > 复杂系统认知与决策实验室  > 先进机器人
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。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Hang, Zhang]的文章
[Wenjian Bi]的文章
[Yanlong Zhao]的文章
百度学术
百度学术中相似的文章
[Hang, Zhang]的文章
[Wenjian Bi]的文章
[Yanlong Zhao]的文章
必应学术
必应学术中相似的文章
[Hang, Zhang]的文章
[Wenjian Bi]的文章
[Yanlong Zhao]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。