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Optimal Estimation of Co-heritability in High-dimensional Linear Models

Optimal Estimation of Co-heritability in High-dimensional Linear Models

24 May 2016
Zijian Guo
Wanjie Wang
T. Tony Cai
Hongzhe Li
    TPM
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Papers citing "Optimal Estimation of Co-heritability in High-dimensional Linear Models"

8 / 8 papers shown
Title
Confidence Intervals for High-Dimensional Linear Regression: Minimax
  Rates and Adaptivity
Confidence Intervals for High-Dimensional Linear Regression: Minimax Rates and Adaptivity
T. Tony Cai
Zijian Guo
156
185
0
18 Jun 2015
Asymptotic normality and optimalities in estimation of large Gaussian
  graphical models
Asymptotic normality and optimalities in estimation of large Gaussian graphical models
Zhao Ren
Tingni Sun
Cun-Hui Zhang
Harrison H. Zhou
127
245
0
24 Sep 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional
  Regression
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Adel Javanmard
Andrea Montanari
170
766
0
13 Jun 2013
On asymptotically optimal confidence regions and tests for
  high-dimensional models
On asymptotically optimal confidence regions and tests for high-dimensional models
Sara van de Geer
Peter Buhlmann
Yaácov Ritov
Ruben Dezeure
169
1,130
0
03 Mar 2013
Scaled Sparse Linear Regression
Scaled Sparse Linear Regression
Tingni Sun
Cun-Hui Zhang
149
507
0
24 Apr 2011
Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic
  Programming
Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming
A. Belloni
Victor Chernozhukov
Lie Wang
132
672
0
28 Sep 2010
Restricted Eigenvalue Conditions on Subgaussian Random Matrices
Restricted Eigenvalue Conditions on Subgaussian Random Matrices
Shuheng Zhou
144
81
0
21 Dec 2009
Simultaneous analysis of Lasso and Dantzig selector
Simultaneous analysis of Lasso and Dantzig selector
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
388
2,527
0
07 Jan 2008
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