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. 1808.01398
  4. Cited By
Coverage Error Optimal Confidence Intervals for Local Polynomial
  Regression
v1v2v3v4 (latest)

Coverage Error Optimal Confidence Intervals for Local Polynomial Regression

4 August 2018
Sebastian Calonico
M. D. Cattaneo
M. Farrell
ArXiv (abs)PDFHTML

Papers citing "Coverage Error Optimal Confidence Intervals for Local Polynomial Regression"

17 / 17 papers shown
Title
Smoothed pseudo-population bootstrap methods with applications to finite
  population quantiles
Smoothed pseudo-population bootstrap methods with applications to finite population quantiles
Vanessa McNealis
Christian Léger
25
0
0
10 Oct 2024
Uniform Estimation and Inference for Nonparametric Partitioning-Based
  M-Estimators
Uniform Estimation and Inference for Nonparametric Partitioning-Based M-Estimators
Matias D. Cattaneo
Yingjie Feng
Boris Shigida
64
1
0
09 Sep 2024
A Causal Framework for Evaluating Deferring Systems
A Causal Framework for Evaluating Deferring Systems
Filippo Palomba
Andrea Pugnana
Jose M. Alvarez
Salvatore Ruggieri
CML
142
4
0
29 May 2024
Inference with Mondrian Random Forests
Inference with Mondrian Random Forests
M. D. Cattaneo
Jason M. Klusowski
W. Underwood
149
8
0
15 Oct 2023
Higher-order Refinements of Small Bandwidth Asymptotics for
  Density-Weighted Average Derivative Estimators
Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators
M. D. Cattaneo
M. Farrell
Michael Jansson
Ricardo P. Masini
37
0
0
31 Dec 2022
Higher-Order Asymptotic Properties of Kernel Density Estimator with
  Global Plug-In and Its Accompanying Pilot Bandwidth
Higher-Order Asymptotic Properties of Kernel Density Estimator with Global Plug-In and Its Accompanying Pilot Bandwidth
Shunsuke Imai
Y. Nishiyama
46
0
0
04 Oct 2022
lpcde: Estimation and Inference for Local Polynomial Conditional Density
  Estimators
lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators
M. D. Cattaneo
Rajita Chandak
Michael Jansson
Xinwei Ma
45
1
0
21 Apr 2022
Boundary Adaptive Local Polynomial Conditional Density Estimators
Boundary Adaptive Local Polynomial Conditional Density Estimators
M. D. Cattaneo
Rajita Chandak
Michael Jansson
Xinwei Ma
65
9
0
21 Apr 2022
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
72
7
0
16 Jan 2022
Joint Deep Reversible Regression Model and Physics-Informed Unsupervised
  Learning for Temperature Field Reconstruction
Joint Deep Reversible Regression Model and Physics-Informed Unsupervised Learning for Temperature Field Reconstruction
Zhiqiang Gong
Weien Zhou
Jun Zhang
Wei Peng
Wen Yao
AI4CE
71
12
0
22 Jun 2021
Local Regression Distribution Estimators
Local Regression Distribution Estimators
M. D. Cattaneo
Michael Jansson
Xinwei Ma
56
30
0
30 Sep 2020
Analysis of Regression Discontinuity Designs with Multiple Cutoffs or
  Multiple Scores
Analysis of Regression Discontinuity Designs with Multiple Cutoffs or Multiple Scores
M. D. Cattaneo
R. Titiunik
Gonzalo Vázquez-Baré
15
29
0
16 Dec 2019
lpdensity: Local Polynomial Density Estimation and Inference
lpdensity: Local Polynomial Density Estimation and Inference
M. D. Cattaneo
Michael Jansson
Xinwei Ma
22
26
0
15 Jun 2019
lspartition: Partitioning-Based Least Squares Regression
lspartition: Partitioning-Based Least Squares Regression
M. D. Cattaneo
M. Farrell
Yingjie Feng
40
4
0
01 Jun 2019
Binscatter Regressions
Binscatter Regressions
M. D. Cattaneo
Richard K. Crump
M. Farrell
Yingjie Feng
55
20
0
25 Feb 2019
Large Sample Properties of Partitioning-Based Series Estimators
Large Sample Properties of Partitioning-Based Series Estimators
M. D. Cattaneo
M. Farrell
Yingjie Feng
111
52
0
13 Apr 2018
Simple and Honest Confidence Intervals in Nonparametric Regression
Simple and Honest Confidence Intervals in Nonparametric Regression
Timothy B. Armstrong
M. Kolesár
75
82
0
03 Jun 2016
1