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Improving heritability estimation by a variable selection approach in sparse high dimensional linear mixed models
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Improving heritability estimation by a variable selection approach in sparse high dimensional linear mixed models

Anna Bonnet
Céline Lévy-Leduc
Elisabeth Gassiat
R. Toro
T. Bourgeron
ArXiv (abs)PDFHTML

Papers citing "Improving heritability estimation by a variable selection approach in sparse high dimensional linear mixed models"

5 / 5 papers shown
Title
Extensions of stability selection using subsamples of observations and covariates
Extensions of stability selection using subsamples of observations and covariates
A. Beinrucker
Ürün Dogan
Gilles Blanchard
50
21
0
18 Jul 2014
Variable selection in linear mixed effects models
Variable selection in linear mixed effects models
Yingying Fan
Runze Li
63
129
0
02 Nov 2012
UPS delivers optimal phase diagram in high-dimensional variable selection
UPS delivers optimal phase diagram in high-dimensional variable selection
Pengsheng Ji
Jiashun Jin
320
93
0
25 Oct 2010
Minimax risks for sparse regressions: Ultra-high-dimensional phenomenons
Minimax risks for sparse regressions: Ultra-high-dimensional phenomenons
Nicolas Verzélen
278
153
0
03 Aug 2010
Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism
Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism
E. Arias-Castro
Emmanuel J. Candès
Y. Plan
98
211
0
08 Jul 2010

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