Simple Local Polynomial Density Estimators

This article introduces an intuitive and easy-to-implement nonparametric density estimator based on local polynomial techniques. The estimator is fully boundary adaptive and automatic, but does not require prebinning or any other transformation of the data. We study the main asymptotic properties of...

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Bibliographic Details
Published in:	Journal of the American Statistical Association Vol. 115; no. 531; pp. 1449 - 1455
Main Authors:	Cattaneo, Matias D., Jansson, Michael, Ma, Xinwei
Format:	Journal Article
Language:	English
Published:	Alexandria Taylor & Francis 02.07.2020 Taylor & Francis Ltd
Subjects:	Americans Asymptotic properties computer software Density Density estimation Discontinuity Inference Local polynomial methods Manipulation test Polynomials Program evaluation Property Regression analysis Regression discontinuity selection methods Statistical methods Statistics Transformation
ISSN:	0162-1459, 1537-274X, 1537-274X
Online Access:	Get full text
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