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Nonparametric Inference via Bootstrapping the Debiased Estimator
v1v2v3 (latest)

Nonparametric Inference via Bootstrapping the Debiased Estimator

22 February 2017
Yen-Chi Chen
Yen-Chi Chen
ArXiv (abs)PDFHTML

Papers citing "Nonparametric Inference via Bootstrapping the Debiased Estimator"

7 / 7 papers shown
Title
Uncertainty quantification for sparse Fourier recovery
Uncertainty quantification for sparse Fourier recovery
F. Hoppe
Felix Krahmer
C. M. Verdun
Marion I. Menzel
Holger Rauhut
84
7
0
30 Dec 2022
Local Regression Distribution Estimators
Local Regression Distribution Estimators
M. D. Cattaneo
Michael Jansson
Xinwei Ma
56
30
0
30 Sep 2020
Solution manifold and Its Statistical Applications
Solution manifold and Its Statistical Applications
Swee Hong Chan
99
7
0
13 Feb 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
49
3
0
22 Jan 2020
Nonparametric Pattern-Mixture Models for Inference with Missing Data
Nonparametric Pattern-Mixture Models for Inference with Missing Data
Yen-Chi Chen
Mauricio Sadinle
21
4
0
24 Apr 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
53
17
0
04 Mar 2019
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
99
59
0
04 Aug 2018
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