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High Dimensional Inference in Partially Linear Models

High Dimensional Inference in Partially Linear Models

Ying Zhu
Zhuqing Yu
Guang Cheng
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Papers citing "High Dimensional Inference in Partially Linear Models"

4 / 4 papers shown
Title
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
Weijie Su
Emmanuel Candes
420
146
0
29 Mar 2015
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
474
1,379
0
13 Oct 2010
Minimax-optimal rates for sparse additive models over kernel classes via convex programming
Minimax-optimal rates for sparse additive models over kernel classes via convex programming
Garvesh Raskutti
Martin J. Wainwright
Bin Yu
151
287
0
21 Aug 2010
SCAD-penalized regression in high-dimensional partially linear models
SCAD-penalized regression in high-dimensional partially linear models
Huiliang Xie
Jian Huang
115
199
0
31 Mar 2009

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