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0811.2177
Cited By
P-values for high-dimensional regression
13 November 2008
N. Meinshausen
L. Meier
Peter Buhlmann
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Papers citing
"P-values for high-dimensional regression"
28 / 28 papers shown
Title
Treatment Effect Estimation with Observational Network Data using Machine Learning
Corinne Emmenegger
Meta-Lina Spohn
Timon Elmer
Peter Buhlmann
CML
57
3
1
20 Jan 2025
Combining exchangeable p-values
Matteo Gasparin
Ruodu Wang
Aaditya Ramdas
45
5
0
04 Apr 2024
TSCI: two stage curvature identification for causal inference with invalid instruments
Dave Carl
Corinne Emmenegger
Peter Buhlmann
Zijian Guo
CML
18
1
0
02 Apr 2023
Uncertainty quantification for sparse Fourier recovery
F. Hoppe
Felix Krahmer
C. M. Verdun
Marion I. Menzel
Holger Rauhut
27
7
0
30 Dec 2022
Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples
P. Wang
Min-ge Xie
Linjun Zhang
35
5
0
19 Sep 2022
Testing Stationarity and Change Point Detection in Reinforcement Learning
Mengbing Li
C. Shi
Zhanghua Wu
Piotr Fryzlewicz
OffRL
37
9
0
03 Mar 2022
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic
Z. Fei
Y. Ryeznik
O. Sverdlov
C. Tan
Weng Kee Wong
21
20
0
25 Nov 2021
Tight Concentrations and Confidence Sequences from the Regret of Universal Portfolio
Francesco Orabona
Kwang-Sung Jun
47
38
0
27 Oct 2021
Significance tests of feature relevance for a black-box learner
Ben Dai
Xiaotong Shen
Wei Pan
15
25
0
02 Mar 2021
Foundations of Bayesian Learning from Synthetic Data
H. Wilde
Jack Jewson
Sebastian J. Vollmer
Chris Holmes
17
15
0
16 Nov 2020
Statistical significance in high-dimensional linear mixed models
Lina Lin
Mathias Drton
Ali Shojaie
24
5
0
16 Dec 2019
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models
Fei-Yue Wang
Ling Zhou
Lu Tang
P. Song
18
4
0
04 Aug 2019
High-Dimensional Econometrics and Regularized GMM
A. Belloni
Victor Chernozhukov
Denis Chetverikov
Christian B. Hansen
Kengo Kato
24
67
0
05 Jun 2018
In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference
Sen Zhao
Daniela Witten
Ali Shojaie
39
57
0
16 May 2017
Marginal false discovery rates for penalized regression models
P. Breheny
20
28
0
19 Jul 2016
MAGIC: a general, powerful and tractable method for selective inference
Xiaoying Tian
Nan Bi
Jonathan E. Taylor
15
22
0
09 Jul 2016
Simultaneous Inference for High-dimensional Linear Models
Xianyang Zhang
Guang Cheng
11
133
0
03 Mar 2016
A sequential rejection testing method for high-dimensional regression with correlated variables
Jacopo Mandozzi
Peter Buhlmann
37
10
0
11 Feb 2015
Asymptotics of selective inference
Xiaoying Tian
Jonathan E. Taylor
29
68
0
15 Jan 2015
High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality
Zhaoran Wang
Quanquan Gu
Y. Ning
Han Liu
28
53
0
30 Dec 2014
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression
Tianqi Zhao
Mladen Kolar
Han Liu
33
43
0
30 Dec 2014
The Benefit of Group Sparsity in Group Inference with De-biased Scaled Group Lasso
Ritwik Mitra
Cun-Hui Zhang
36
46
0
13 Dec 2014
Confidence intervals for high-dimensional inverse covariance estimation
Jana Janková
Sara van de Geer
63
185
0
26 Mar 2014
On asymptotically optimal confidence regions and tests for high-dimensional models
Sara van de Geer
Peter Buhlmann
Yaácov Ritov
Ruben Dezeure
46
1,128
0
03 Mar 2013
A significance test for the lasso
R. Lockhart
Jonathan E. Taylor
R. Tibshirani
Robert Tibshirani
56
656
0
30 Jan 2013
Statistical significance in high-dimensional linear models
Peter Buhlmann
84
228
0
07 Feb 2012
High-dimensional generalized linear models and the lasso
Sara van de Geer
189
750
0
04 Apr 2008
Two simple sufficient conditions for FDR control
Gilles Blanchard
Étienne Roquain
102
121
0
11 Feb 2008
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