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Nonparametric Testing of an Exclusion Restriction in Quantile Regression
Communications in Statistics - Theory and Methods, 2008Using the framework proposed by Bickel et al. (2006), we provide a score-based testing method to check the exclusion restriction in quantile regression, i.e., H: να(Y|U, V) = να(Y|U) w.p.1, where να denotes the αth (0
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Nonparametric Quantile Regression Estimation With Mixed Discrete and Continuous Data
Journal of Business and Economic Statistics, 2021Degui Li, Qi Li
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Nonparametric Quantile Regression for Homogeneity Pursuit in Panel Data Models
Journal of Business and Economic Statistics, 2023Di Wang, Heng Lian, Guodong Li
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Investigating distribution of nitrate concentration using ensemble nonparametric quantile regression
Science of the Total Environment, 2021Hojun You, Eun-Hee Koh, Sanghoon Lee
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RODEO for Sparse Nonparametric Regression and Quantile Regression with Censored Data
2007RODEO is a recently developed general strategy for nonparametric estimation based on the regularization of the estimator derivatives with respect to the smoothing parameters. In the original nonparametric regression framework, RODEO results in a simple yet effective new algorithm for simultaneous bandwidth and variable selection with interesting ...
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Convergence rate for nonparametric quantile regression with a total variation penalty
Stat, 2021Jiamin Liu, Wangli Xu, Heng Lian
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Nonparametric Estimation of an Additive Quantile Regression Model
Journal of the American Statistical Association, 2005Sokbae Lee
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Fast Nonparametric Quantile Regression With Arbitrary Smoothing Methods
Journal of Computational and Graphical Statistics, 2011Hee-Seok Oh, Thomas C M Lee
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