Coverage error optimal confidence intervals for local polynomial regression
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Publication:2676952
DOI10.3150/21-BEJ1445MaRDI QIDQ2676952
Matias D. Cattaneo, Max H. Farrell, Sebastian Calonico
Publication date: 28 September 2022
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1808.01398
bandwidth selectionnonparametric regressionEdgeworth expansionCramér conditionminimax boundoptimal inferencerobust bias correction
Nonparametric inference (62Gxx) Probabilistic methods, stochastic differential equations (65Cxx) Statistical distribution theory (62Exx)
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Uses Software
Cites Work
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- Large Sample Properties of Partitioning-Based Series Estimators
- Estimated sampling distributions: The bootstrap and competitors
- Effect of bias estimation on coverage accuracy of bootstrap confidence intervals for a probability density
- On bootstrap confidence intervals in nonparametric regression
- Local polynomial regression: Optimal kernels and asymptotic minimax efficiency
- On automatic boundary corrections
- Bootstrapping nonparametric density estimators with empirically chosen bandwidths.
- Nonlinear time series. Nonparametric and parametric methods
- Uniform coverage bounds for confidence intervals and Berry-Esseen theorems for Edgeworth expansion
- Nonparametric inference via bootstrapping the debiased estimator
- Regression discontinuity designs, white noise models, and minimax
- Empirical likelihood confidence intervals for local linear smoothers
- The Nonexistence of Certain Statistical Procedures in Nonparametric Problems
- Edgeworth expansions for nonparametric density estimators, with applications
- Pointwise Confidence Intervals in Nonparametric Regression with Heteroscedastic Error Structure
- Confidence Intervals Based on Local Linear Smoother
- Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs
- On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference
- Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs
- The bootstrap and Edgeworth expansion
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