ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1105.6154
  4. Cited By
Conditional Quantile Processes based on Series or Many Regressors
v1v2v3v4 (latest)

Conditional Quantile Processes based on Series or Many Regressors

31 May 2011
A. Belloni
Victor Chernozhukov
Denis Chetverikov
Iván Fernández�?Val
ArXiv (abs)PDFHTML

Papers citing "Conditional Quantile Processes based on Series or Many Regressors"

8 / 8 papers shown
Title
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
Jianqing Fan
Jiawei Ge
Debarghya Mukherjee
AI4TS
88
7
0
28 Jun 2023
Uniform Inference for Kernel Density Estimators with Dyadic Data
Uniform Inference for Kernel Density Estimators with Dyadic Data
M. D. Cattaneo
Yingjie Feng
W. Underwood
61
7
0
16 Jan 2022
Neural Networks for Partially Linear Quantile Regression
Neural Networks for Partially Linear Quantile Regression
Qixian Zhong
Jane-ling Wang
413
14
0
11 Jun 2021
Universal Prediction Band via Semi-Definite Programming
Universal Prediction Band via Semi-Definite Programming
Tengyuan Liang
55
3
0
31 Mar 2021
Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile
  Balancing
Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing
Jacob Dorn
Kevin Guo
189
58
0
08 Feb 2021
Non-parametric Quantile Regression via the K-NN Fused Lasso
Non-parametric Quantile Regression via the K-NN Fused Lasso
Steven Siwei Ye
Oscar Hernan Madrid Padilla
51
13
0
03 Dec 2020
On Binscatter
On Binscatter
M. D. Cattaneo
Richard K. Crump
M. Farrell
Yingjie Feng
52
126
0
25 Feb 2019
Factorisable Multitask Quantile Regression
Factorisable Multitask Quantile Regression
Shih-Kang Chao
Wolfgang Karl Härdle
M. Yuan
40
9
0
14 Jul 2015
1