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Eigenvalue distributions of variance components estimators in
  high-dimensional random effects models
v1v2 (latest)

Eigenvalue distributions of variance components estimators in high-dimensional random effects models

8 July 2016
Fan Zhou
Iain M. Johnstone
ArXiv (abs)PDFHTML

Papers citing "Eigenvalue distributions of variance components estimators in high-dimensional random effects models"

7 / 7 papers shown
Title
Reproducing Kernels and New Approaches in Compositional Data Analysis
Reproducing Kernels and New Approaches in Compositional Data Analysis
Binglin Li
Jeongyoun Ahn
CoGe
38
8
0
02 May 2022
$σ$-Ridge: group regularized ridge regression via empirical Bayes
  noise level cross-validation
σσσ-Ridge: group regularized ridge regression via empirical Bayes noise level cross-validation
Nikolaos Ignatiadis
Panagiotis Lolas
63
5
0
29 Oct 2020
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
Fan Yang
Hongyang R. Zhang
Sen Wu
Christopher Ré
Weijie J. Su
161
11
0
22 Oct 2020
Principal components in linear mixed models with general bulk
Principal components in linear mixed models with general bulk
Z. Fan
Yi Sun
Zhichao Wang
29
8
0
22 Mar 2019
MIXANDMIX: numerical techniques for the computation of empirical
  spectral distributions of population mixtures
MIXANDMIX: numerical techniques for the computation of empirical spectral distributions of population mixtures
Lucilio Cordero-Grande
99
3
0
13 Dec 2018
Spiked covariances and principal components analysis in high-dimensional
  random effects models
Spiked covariances and principal components analysis in high-dimensional random effects models
Z. Fan
Iain M. Johnstone
Yi Sun
36
9
0
25 Jun 2018
Tracy-Widom at each edge of real covariance and MANOVA estimators
Tracy-Widom at each edge of real covariance and MANOVA estimators
Z. Fan
Iain M. Johnstone
59
10
0
07 Jul 2017
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