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Conditional Quantile Processes based on Series or Many Regressors
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Conditional Quantile Processes based on Series or Many Regressors

A. Belloni
Victor Chernozhukov
Denis Chetverikov
Iván Fernández�?Val
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Papers citing "Conditional Quantile Processes based on Series or Many Regressors"

6 / 6 papers shown
Title
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
Anti-concentration and honest, adaptive confidence bands
Anti-concentration and honest, adaptive confidence bands
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
189
174
0
28 Mar 2013
Comparison and anti-concentration bounds for maxima of Gaussian random vectors
Comparison and anti-concentration bounds for maxima of Gaussian random vectors
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
148
224
0
21 Jan 2013
Uniform bias study and Bahadur representation for local polynomial estimators of the conditional quantile function
Uniform bias study and Bahadur representation for local polynomial estimators of the conditional quantile function
E. Guerre
Camille Sabbah
214
80
0
25 May 2011
Improving Point and Interval Estimates of Monotone Functions by Rearrangement
Improving Point and Interval Estimates of Monotone Functions by Rearrangement
Victor Chernozhukov
I. Fernández‐Val
Alfred Galichon
511
140
0
29 Jun 2008
Uniform Bahadur Representation for Local Polynomial Estimates of M-Regression and Its Application to The Additive Model
Uniform Bahadur Representation for Local Polynomial Estimates of M-Regression and Its Application to The Additive Model
Efang Kong
O. Linton
Yingcun Xia
122
127
0
11 Sep 2007