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quantreg. nonpar: An R Package for performing nonparametric series quantile regression [PDF]
The R Journal, 2016 The R package quantreg.nonpar implements nonparametric quantile regression methods to estimate and make inference on partially linear quantile models. quantreg.nonpar obtains point estimates of the conditional quantile function and its derivatives based ...
Belloni, Alexandre +3 more
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Nonparametric estimation of an additive quantile regression model [PDF]
Journal of the American Statistical Association, 2004 This paper is concerned with estimating the additive components of a nonparametric additive quantile regression model. We develop an estimator that is asymptotically normally distributed with a rate of convergence in probability of n^{-r/(2+10)} when ...
Horowitz, J., Lee, S.
core +7 more sources
A nonparametric approach for quantile regression [PDF]
Journal of Statistical Distributions and Applications, 2018 Quantile regression estimates conditional quantiles and has wide applications in the real world. Estimating high conditional quantiles is an important problem. The regular quantile regression (QR) method often designs a linear or non-linear model, then estimates the coefficients to obtain the estimated conditional quantiles.
Huang, Mei Ling, Nguyen, Christine
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Quantile-dependent expressivity of serum C-reactive protein concentrations in family sets [PDF]
PeerJ, 2021 Background “Quantile-dependent expressivity” occurs when the effect size of a genetic variant depends upon whether the phenotype (e.g., C-reactive protein, CRP) is high or low relative to its distribution. We have previously shown that the heritabilities
Paul T. Williams
doaj +2 more sources
Journal of Marine Science and Engineering, 2022 Transportation is one of the major carbon sources in China. Container throughput is one of the main influencing factors of ports’ carbon emission budget, and accurate prediction of container throughput is of great significance to the study of carbon ...
Yuye Zou, Bohan Su, Yanhui Chen
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Global Bahadur representation for nonparametric censored regression quantiles and its applications [PDF]
Econometric Theory, 2011 This paper is concerned with the nonparametric estimation of regression quantiles where the response variable is randomly censored. Using results on the strong uniform convergence of U-processes, we derive a global Bahadur representation for the weighted
Efang Kong, Oliver Linton, Yingcun Xia
core +4 more sources
Nonparametric circular quantile regression [PDF]
Journal of Statistical Planning and Inference, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Di Marzio, Marco +2 more
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Islamic securities (ṣukūk) and economic growth: New empirical investigation from Southeast Asia using non-parametric analysis of MCMC panel quantile regression [PDF]
Islamic Economic Studies, 2022 Purpose – This paper aims to investigate empirically whether Islamic securities enhance economic growth in the Southeast Asian region based on the endogenous growth theory using the non-parametric analysis.
Mohammed Ayoub Ledhem +1 more
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Nonparametric Estimation using Regression Quantiles in a Regression Model [PDF]
Korean Journal of Applied Statistics, 2012 One proposal is made to construct a nonparametric estimator of slope parameters in a regression model under symmetric error distributions. This estimator is based on the use of the idea of minimizing approximate variance of a proposed estimator using regression quantiles. This nonparametric estimator and some other L-estimators are studied and compared
Sang-Moon Han, Byoung-Cheol Jung
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Additive quantile mixed effects modelling with application to longitudinal CD4 count data
Scientific Reports, 2021 Quantile regression offers an invaluable tool to discern effects that would be missed by other conventional regression models, which are solely based on modeling conditional mean.
Ashenafi A. Yirga +3 more
doaj +1 more source