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Nonparametric kernel density and local polynomial regression estimators are very popular in Statistics, Economics, and many other disciplines.
Cattaneo MD, Crump RK, Farrell MH, Feng Y (2019a) · 1902
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Kernel Smoothing
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Local Polynomial Modelling and Its Applications
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“Using Heteroscedasticity Consistent Standard Errors in the Linear Regression Model.”
Long JS, Ervin LH (2000) · 2000
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Nonparametric Econometrics
Li Q, Racine S (2007) · 2007
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“Estimation of the Conditional Variance in Paired Experiments.”
Abadie A, Imbens GW (2008) · 2008
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“Nonparametric Econometrics: The np Package.”
Hayfield T, Racine J (2008) · 2008
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Semiparametric Regression
Ruppert D, Wand MP, Carroll R (2009) · 2009
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“Thirty years of heteroskedasticity-robust inference.”
MacKinnon JG (2012) · 2012
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“Optimal Convergence Rates, Bahadur Representation, and Asymptotic Normality of Partitioning Estimators.”
Cattaneo MD, Farrell MH (2013) · 2013
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locfit: Local Regression, Likelihood and Density Estimation
Loader C (2013) · 2013
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ggplot2: Elegant Graphics for Data Analysis
Wickham H (2016) · 2016
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“Extending R
Eddelbuettel D, Balamuta JJ (2017) · 2017
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“On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference.”
Calonico S, Cattaneo MD, Farrell MH (2018) · 2018
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“Coverage Error Optimal Confidence Intervals for Local Polynomial Regression.”
Calonico S, Cattaneo MD, Farrell MH (2019) · 2019
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Cattaneo MD, Farrell MH, Feng Y (2019b)
Cited in the paper.
“ lpdensity
Cattaneo MD, Jansson M, Ma X (2019c)
Cited in the paper.