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 depth and quantile regression for functional data [PDF]
Bernoulli, 2019 We investigate nonparametric regression methods based on spatial depth and quantiles when the response and the covariate are both functions. As in classical quantile regression for finite dimensional data, regression techniques developed here provide insight into the influence of the functional covariate on different parts, like the center as well as ...
Chowdhury, Joydeep, Chaudhuri, Probal
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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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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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Regression quantiles in nonparametric regression [PDF]
Journal of Nonparametric Statistics, 1994 In a nonparametric setup involving stochastic regressors, regression quantiles relate to the so called conditional quantile functions. Various asymptotic properties of such conditional quantile processes are studied with due emphasis on the underlying design aspects.
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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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Quantile-Dependent Expressivity of Serum Uric Acid Concentrations
International Journal of Genomics, 2021 Objective. “Quantile-dependent expressivity” occurs when the effect size of a genetic variant depends upon whether the phenotype (e.g., serum uric acid) is high or low relative to its distribution.
Paul T. Williams
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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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Function-on-function linear quantile regression
Mathematical Modelling and Analysis, 2022 In this study, we propose a function-on-function linear quantile regression model that allows for more than one functional predictor to establish a more flexible and robust approach. The proposed model is first transformed into a finitedimensional space
Ufuk Beyaztas, Han Lin Shang
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