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. 1508.02973
  4. Cited By
On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric
  Inference
v1v2v3v4v5v6 (latest)

On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference

12 August 2015
Sebastian Calonico
M. D. Cattaneo
M. Farrell
ArXiv (abs)PDFHTML

Papers citing "On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference"

28 / 28 papers shown
Title
Gaussian Approximation for Lag-Window Estimators and the Construction of
  Confidence bands for the Spectral Density
Gaussian Approximation for Lag-Window Estimators and the Construction of Confidence bands for the Spectral Density
Jens-Peter Kreiss
Anne Leucht
E. Paparoditis
54
0
0
17 Jul 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
154
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
46
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
51
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
47
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
67
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
82
7
0
16 Jan 2022
Optimal Decision Rules Under Partial Identification
Optimal Decision Rules Under Partial Identification
Kohei Yata
92
19
0
09 Nov 2021
Kernel regression analysis of tie-breaker designs
Kernel regression analysis of tie-breaker designs
Dan M. Kluger
Art B. Owen
22
2
0
23 Jan 2021
Empirical likelihood and uniform convergence rates for dyadic kernel
  density estimation
Empirical likelihood and uniform convergence rates for dyadic kernel density estimation
Harold D. Chiang
Bing Tan
50
2
0
17 Oct 2020
Local Regression Distribution Estimators
Local Regression Distribution Estimators
M. D. Cattaneo
Michael Jansson
Xinwei Ma
58
30
0
30 Sep 2020
A numerically stable algorithm for integrating Bayesian models using
  Markov melding
A numerically stable algorithm for integrating Bayesian models using Markov melding
A. A. Manderson
Robert J. B. Goudie
53
3
0
22 Jan 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
20
29
0
16 Dec 2019
A Practical Introduction to Regression Discontinuity Designs:
  Foundations
A Practical Introduction to Regression Discontinuity Designs: Foundations
M. D. Cattaneo
N. Idrobo
R. Titiunik
48
555
0
21 Nov 2019
lpdensity: Local Polynomial Density Estimation and Inference
lpdensity: Local Polynomial Density Estimation and Inference
M. D. Cattaneo
Michael Jansson
Xinwei Ma
32
26
0
15 Jun 2019
nprobust: Nonparametric Kernel-Based Estimation and Robust
  Bias-Corrected Inference
nprobust: Nonparametric Kernel-Based Estimation and Robust Bias-Corrected Inference
Sebastian Calonico
M. D. Cattaneo
M. Farrell
52
33
0
01 Jun 2019
Nonparametric Confidence Regions for Level Sets: Statistical Properties
  and Geometry
Nonparametric Confidence Regions for Level Sets: Statistical Properties and Geometry
Wanli Qiao
W. Polonik
60
17
0
04 Mar 2019
Binscatter Regressions
Binscatter Regressions
M. D. Cattaneo
Richard K. Crump
M. Farrell
Yingjie Feng
55
20
0
25 Feb 2019
On Binscatter
On Binscatter
M. D. Cattaneo
Richard K. Crump
M. Farrell
Yingjie Feng
66
129
0
25 Feb 2019
Robust Inference Using Inverse Probability Weighting
Robust Inference Using Inverse Probability Weighting
Xinwei Ma
Jingshen Wang
78
95
0
26 Oct 2018
Coverage Error Optimal Confidence Intervals for Local Polynomial
  Regression
Coverage Error Optimal Confidence Intervals for Local Polynomial Regression
Sebastian Calonico
M. D. Cattaneo
M. Farrell
113
59
0
04 Aug 2018
Two-Step Estimation and Inference with Possibly Many Included Covariates
Two-Step Estimation and Inference with Possibly Many Included Covariates
M. D. Cattaneo
Michael Jansson
Xinwei Ma
CML
66
68
0
26 Jul 2018
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
Nonparametric Inference via Bootstrapping the Debiased Estimator
Nonparametric Inference via Bootstrapping the Debiased Estimator
Yen-Chi Chen
Yen-Chi Chen
67
22
0
22 Feb 2017
Uniform confidence bands for nonparametric errors-in-variables
  regression
Uniform confidence bands for nonparametric errors-in-variables regression
Kengo Kato
Yuya Sasaki
121
21
0
11 Feb 2017
Uniform confidence bands in deconvolution with unknown error
  distribution
Uniform confidence bands in deconvolution with unknown error distribution
Kengo Kato
Yuya Sasaki
89
31
0
07 Aug 2016
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