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High-Dimensional Semiparametric Selection Models: Estimation Theory with
  an Application to the Retail Gasoline Market

High-Dimensional Semiparametric Selection Models: Estimation Theory with an Application to the Retail Gasoline Market

4 November 2014
Ying Zhu
ArXivPDFHTML

Papers citing "High-Dimensional Semiparametric Selection Models: Estimation Theory with an Application to the Retail Gasoline Market"

13 / 13 papers shown
Title
A new perspective on least squares under convex constraint
A new perspective on least squares under convex constraint
S. Chatterjee
102
116
0
04 Feb 2014
Confidence Intervals and Hypothesis Testing for High-Dimensional
  Regression
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Adel Javanmard
Andrea Montanari
184
767
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
228
1,402
0
27 May 2013
Regularized M-estimators with nonconvexity: Statistical and algorithmic
  theory for local optima
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
Po-Ling Loh
Martin J. Wainwright
247
516
0
10 May 2013
Improved Matrix Uncertainty Selector
Improved Matrix Uncertainty Selector
M. Rosenbaum
Alexandre B. Tsybakov
79
65
0
19 Dec 2011
Efficient Learning of Generalized Linear and Single Index Models with
  Isotonic Regression
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression
Sham Kakade
Adam Tauman Kalai
Varun Kanade
Ohad Shamir
174
179
0
11 Apr 2011
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
380
1,378
0
13 Oct 2010
High-dimensional Ising model selection using ${\ell_1}$-regularized
  logistic regression
High-dimensional Ising model selection using ℓ1{\ell_1}ℓ1​-regularized logistic regression
Pradeep Ravikumar
Martin J. Wainwright
John D. Lafferty
244
957
0
02 Oct 2010
Minimax rates of estimation for high-dimensional linear regression over
  $\ell_q$-balls
Minimax rates of estimation for high-dimensional linear regression over ℓq\ell_qℓq​-balls
Garvesh Raskutti
Martin J. Wainwright
Bin Yu
197
575
0
11 Oct 2009
The Dantzig selector and sparsity oracle inequalities
The Dantzig selector and sparsity oracle inequalities
V. Koltchinskii
222
134
0
04 Sep 2009
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
526
755
0
04 Apr 2008
Sparse Additive Models
Sparse Additive Models
Pradeep Ravikumar
John D. Lafferty
Han Liu
Larry A. Wasserman
393
574
0
28 Nov 2007
Can One Estimate The Unconditional Distribution of Post-Model-Selection
  Estimators?
Can One Estimate The Unconditional Distribution of Post-Model-Selection Estimators?
Hannes Leeb
Benedikt M. Poetscher
351
363
0
12 Apr 2007
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