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Covariance Regression with High-Dimensional Predictors

Covariance Regression with High-Dimensional Predictors

10 April 2024
Yuheng He
Changliang Zou
Yi Zhao
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Papers citing "Covariance Regression with High-Dimensional Predictors"

5 / 5 papers shown
Title
Exact post-selection inference, with application to the lasso
Exact post-selection inference, with application to the lasso
Jason D. Lee
Dennis L. Sun
Yuekai Sun
Jonathan E. Taylor
144
730
0
25 Nov 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional
  Regression
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Adel Javanmard
Andrea Montanari
143
766
0
13 Jun 2013
Supplementary Appendix for "Inference on Treatment Effects After
  Selection Amongst High-Dimensional Controls"
Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls"
A. Belloni
Victor Chernozhukov
Christian B. Hansen
173
1,400
0
27 May 2013
A Unified Framework for High-Dimensional Analysis of M-Estimators with
  Decomposable Regularizers
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers
S. Negahban
Pradeep Ravikumar
Martin J. Wainwright
Bin Yu
252
1,377
0
13 Oct 2010
The solution path of the generalized lasso
The solution path of the generalized lasso
Robert Tibshirani
Jonathan E. Taylor
146
862
0
11 May 2010
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