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Inference for High Dimensional Censored Quantile Regression

Inference for High Dimensional Censored Quantile Regression

22 July 2021
Z. Fei
Qi Zheng
H. Hong
Yi Li
ArXiv (abs)PDFHTML

Papers citing "Inference for High Dimensional Censored Quantile Regression"

14 / 14 papers shown
Title
High Dimensional Robust Inference for Cox Regression Models
High Dimensional Robust Inference for Cox Regression Models
S. Kong
Zhuqing Yu
Xianyang Zhang
Guang Cheng
36
9
0
01 Nov 2018
Estimation and Inference of Heterogeneous Treatment Effects using Random
  Forests
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
Stefan Wager
Susan Athey
SyDaCML
352
2,490
0
14 Oct 2015
A General Theory of Hypothesis Tests and Confidence Regions for Sparse
  High Dimensional Models
A General Theory of Hypothesis Tests and Confidence Regions for Sparse High Dimensional Models
Y. Ning
Han Liu
165
305
0
30 Dec 2014
Testing and Confidence Intervals for High Dimensional Proportional
  Hazards Model
Testing and Confidence Intervals for High Dimensional Proportional Hazards Model
Ethan X. Fang
Y. Ning
Han Liu
91
71
0
16 Dec 2014
Valid Post-Selection Inference in High-Dimensional Approximately Sparse
  Quantile Regression Models
Valid Post-Selection Inference in High-Dimensional Approximately Sparse Quantile Regression Models
A. Belloni
Victor Chernozhukov
Kengo Kato
73
62
0
27 Dec 2013
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
215
733
0
25 Nov 2013
Confidence Intervals for Random Forests: The Jackknife and the
  Infinitesimal Jackknife
Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife
Stefan Wager
Trevor Hastie
B. Efron
UQCV
174
402
0
18 Nov 2013
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
Valid post-selection inference
Valid post-selection inference
R. Berk
L. Brown
A. Buja
Kai Zhang
Linda H. Zhao
263
586
0
05 Jun 2013
Quantile-adaptive model-free variable screening for high-dimensional
  heterogeneous data
Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data
Xuming He
Lan Wang
H. Hong
99
242
0
08 Apr 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
210
1,131
0
03 Mar 2013
Adaptive robust variable selection
Adaptive robust variable selection
Jianqing Fan
Yingying Fan
Emre Barut
582
200
0
22 May 2012
P-values for high-dimensional regression
P-values for high-dimensional regression
N. Meinshausen
L. Meier
Peter Buhlmann
122
441
0
13 Nov 2008
The sparsity and bias of the Lasso selection in high-dimensional linear
  regression
The sparsity and bias of the Lasso selection in high-dimensional linear regression
Cun-Hui Zhang
Jian Huang
472
869
0
07 Aug 2008
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