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 of a response variable that is randomly censored. Using results on the strong uniform convergence rate of U-processes, we derive a global Bahadur representation for a class of locally weighted polynomial estimators, which is sufficiently accurate for many further ...
Efang Kong, Oliver Linton, Yingcun Xia
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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
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Fuzzy Semi-Parametric Logistic Quantile Regression Model
Wasit Journal for Pure Sciences, 2023 In this paper, the fuzzy semi-parametric logistic quantile regression model was studied in the absence of special conditions in the classical regression models.
Ahmed Razzaq, Ayad H. shemaila
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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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Quantile-dependent expressivity of plasma adiponectin concentrations may explain its sex-specific heritability, gene-environment interactions, and genotype-specific response to postprandial lipemia [PDF]
PeerJ, 2020 Background “Quantile-dependent expressivity” occurs when the effect size of a genetic variant depends upon whether the phenotype (e.g. adiponectin) is high or low relative to its distribution.
Paul T. Williams
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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
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Heliyon, 2023 In a nonparametric quantile-on-quantile regression model, we analyze the asymmetric financial impact of the Russian-Ukrainian conflict-induced geopolitical risk (GPR) on the top-seven emerging (E7) and developed (G7) stock markets.
Ahmed Bossman, Mariya Gubareva
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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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Quantile processes for semi and nonparametric regression
Electronic Journal of Statistics, 2017 To Appear in Electronic Journal of ...
Chao, Shih-Kang +2 more
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Spatial Statistics, 2021 Abstract The problem of estimating the spatio-functional quantile regression for a given spatial mixing structure ( X i , Y i ) ∈ F × R , when i ∈ Z N , N ≥ 1 and F is a separable Hilbert space, is investigated. We construct and compare four estimators of the regression quantile.
Mustapha Rachdi +2 more
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