Heritability estimation in high dimensional sparse linear mixed models

DOI10.1214/15-EJS1069zbMath1337.62157arXiv1404.3397OpenAlexW1716926924MaRDI QIDQ887258

Céline Lévy-Leduc, Anna Bonnet, Elisabeth Gassiat

Publication date: 28 October 2015

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1404.3397

zbMATH Keywords

heritabilitysparsitylinear mixed modelhigh-dimensional

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Parametric tolerance and confidence regions (62F25) Linear regression; mixed models (62J05)

Related Items (8)

Heritability estimation in case-control studies ⋮ Unnamed Item ⋮ Estimation of variance components, heritability and the ridge penalty in high-dimensional generalized linear models ⋮ Fixed Effects Testing in High-Dimensional Linear Mixed Models ⋮ Adaptive estimation of high-dimensional signal-to-noise ratios ⋮ Optimal Estimation of Genetic Relatedness in High-Dimensional Linear Models ⋮ Non-concave penalization in linear mixed-effect models and regularized selection of fixed effects ⋮ Improved estimators for semi-supervised high-dimensional regression model

Uses Software

• pi-MASS
• GCTA

Cites Work

• Unnamed Item
• Unnamed Item
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• Efficient computation with a linear mixed model on large-scale data sets with applications to genetic studies
• Detection boundary in sparse regression
• Approximation Theorems of Mathematical Statistics
• Average Information REML: An Efficient Algorithm for Variance Parameter Estimation in Linear Mixed Models
• DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES
• Recovery of inter-block information when block sizes are unequal

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