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Estimation for High‐Dimensional Linear Mixed‐Effects Models Using ℓ 1 ‐Penalization

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  • JÜRG SCHELLDORFER
  • PETER BÜHLMANN
  • SARA VAN DE GEER

Abstract

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Suggested Citation

  • Jürg Schelldorfer & Peter Bühlmann & Sara Van De Geer, 2011. "Estimation for High‐Dimensional Linear Mixed‐Effects Models Using ℓ 1 ‐Penalization," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 38(2), pages 197-214, June.
    • Handle: RePEc:bla:scjsta:v:38:y:2011:i:2:p:197-214
    DOI: j.1467-9469.2011.00740.x
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    Cited by:

    1. Qi Zhang, 2022. "High-Dimensional Mediation Analysis with Applications to Causal Gene Identification," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 14(3), pages 432-451, December.
    2. Ilya O. Ryzhov & Bin Han & Jelena Bradić, 2016. "Cultivating Disaster Donors Using Data Analytics," Management Science, INFORMS, vol. 62(3), pages 849-866, March.
    3. Abrahamsen, Tavis & Hobert, James P., 2019. "Fast Monte Carlo Markov chains for Bayesian shrinkage models with random effects," Journal of Multivariate Analysis, Elsevier, vol. 169(C), pages 61-80.
    4. Mammen, Enno & Wilke, Ralf A. & Zapp, Kristina Maria, 2022. "Estimation of group structures in panel models with individual fixed effects," ZEW Discussion Papers 22-023, ZEW - Leibniz Centre for European Economic Research.
    5. Jieyi Yi & Niansheng Tang, 2022. "Variational Bayesian Inference in High-Dimensional Linear Mixed Models," Mathematics, MDPI, vol. 10(3), pages 1-19, January.

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