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An extension of the censored gaussian lasso estimator

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اقرأ أكثر حفظ في قائمتي
  • معلومة اضافية
    • Contributors:
      Augugliaro, L; Sottile, G; Vinciotti, V; Luigi Augugliaro; Gianluca Sottile; Veronica Vinciotti
    • بيانات النشر:
      Arbia, G; Peluso, S; Pini, A; Rivellini, G
      IT
      Milano
    • الموضوع:
      2019
    • Collection:
      IRIS Università degli Studi di Palermo
    • نبذة مختصرة :
      The conditional glasso is one of the most used estimators for inferring genetic networks. Despite its diffusion, there are several fields in applied research where the limits of detection of modern measurement technologies make the use of this estimator theoretically unfounded, even when the assumption of a multivariate Gaussian distribution is satisfied. In this paper we propose an extension to censored data.
    • Relation:
      info:eu-repo/semantics/altIdentifier/isbn/9788891915108; ispartofbook:Smart Statistics for Smart Applications - Book of Short Papers SIS2019; SIS 2019 - Smart Statistics for Smart Applications; firstpage:39; lastpage:46; numberofpages:8; http://hdl.handle.net/10447/418527
    • Rights:
      info:eu-repo/semantics/openAccess
    • الرقم المعرف:
      edsbas.1584BC49