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  • 标题:Set-Valued System Identification Methods in Retrospective Cohort Study and Applications to GWAS
  • 本地全文:下载
  • 作者:Hang Zhang ; Wenjian Bi ; Yanlong Zhao
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:1583-1588
  • DOI:10.1016/j.ifacol.2017.08.313
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis 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.
  • 关键词:KeywordsSet-valued systemretrospective likelihoodsystem identificationGenome-Wide Association Studies
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