ResearchTrend.AI
SIHR: Statistical Inference in High-Dimensional Linear and Logistic Regression Models
v1v2v3 (latest)

SIHR: Statistical Inference in High-Dimensional Linear and Logistic Regression Models

Prabrisha Rakshit
Zhenyu Wang
T. Tony Cai
Zijian Guo
ArXiv (abs)PDFHTML

Papers citing "SIHR: Statistical Inference in High-Dimensional Linear and Logistic Regression Models"

11 / 11 papers shown
Title
Semi-supervised Inference for Explained Variance in High-dimensional Linear Regression and Its Applications
Semi-supervised Inference for Explained Variance in High-dimensional Linear Regression and Its Applications
T. Tony Cai
Zijian Guo
61
62
0
16 Jun 2018
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
193
185
0
18 Jun 2015
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Adel Javanmard
Andrea Montanari
249
768
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
216
1,131
0
03 Mar 2013
Estimation And Selection Via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications
Estimation And Selection Via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications
Jian Huang
Cun-Hui Zhang
95
61
0
29 Dec 2011
Scaled Sparse Linear Regression
Scaled Sparse Linear Regression
Tingni Sun
Cun-Hui Zhang
188
508
0
24 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
477
1,379
0
13 Oct 2010
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
188
675
0
28 Sep 2010
Nearly unbiased variable selection under minimax concave penalty
Nearly unbiased variable selection under minimax concave penalty
Cun-Hui Zhang
342
3,568
0
25 Feb 2010
Lasso-type recovery of sparse representations for high-dimensional data
Lasso-type recovery of sparse representations for high-dimensional data
N. Meinshausen
Bin Yu
475
882
0
01 Jun 2008
Simultaneous analysis of Lasso and Dantzig selector
Simultaneous analysis of Lasso and Dantzig selector
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
538
2,531
0
07 Jan 2008

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.