Results 31 to 40 of about 30,567 (245)

Islamic securities (ṣukūk) and economic growth: New empirical investigation from Southeast Asia using non-parametric analysis of MCMC panel quantile regression [PDF]

open access: yesIslamic 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
doaj   +1 more source

Parametric and nonparametric conditional quantile regression modeling for dependent spatial functional data

open access: yesSpatial 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
openaire   +2 more sources

Quantile-Dependent Expressivity of Serum Uric Acid Concentrations

open access: yesInternational 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
doaj   +1 more source

Function-on-function linear quantile regression

open access: yesMathematical 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
doaj   +1 more source

Bank loans recovery rate in commercial banks:A case study of non-financial corporations [PDF]

open access: yesZbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2019
The empirical literature on credit risk is mainly based on modelling the probability of default, omitting the modelling of the loss given default. This paper is aimed to predict recovery rates on the rarely applied nonparametric method of Bayesian Model ...
Natalia Nehrebecka
doaj   +1 more source

Spirometric traits show quantile-dependent heritability, which may contribute to their gene-environment interactions with smoking and pollution [PDF]

open access: yesPeerJ, 2020
Background “Quantile-dependent expressivity” refers to a genetic effect that is dependent upon whether the phenotype (e.g., spirometric data) is high or low relative to its population distribution. Forced vital capacity (FVC), forced expiratory volume in
Paul T. Williams
doaj   +2 more sources

Convex Optimization in R

open access: yesJournal of Statistical Software, 2014
Convex optimization now plays an essential role in many facets of statistics. We briefly survey some recent developments and describe some implementations of these methods in R .
Roger Koenker, Ivan Mizera
doaj   +1 more source

Outlier Detection using Projection Quantile Regression for Mass Spectrometry Data with Low Replication

open access: yesBMC Research Notes, 2012
Background Mass spectrometry (MS) data are often generated from various biological or chemical experiments and there may exist outlying observations, which are extreme due to technical reasons.
Eo Soo-Heang   +3 more
doaj   +1 more source

Nonparametric probabilistic forecasting based stochastic optimal scheduling of integrated electricity and gas systems

open access: yesFrontiers in Energy Research, 2023
The volatility and sporadic availability of renewable energy create significant challenges to the optimal scheduling of integrated electricity and gas systems (IEGS).
Jinyu Chen, Dawei Chen
doaj   +1 more source

Robust nonparametric estimation via wavelet median regression [PDF]

open access: yes, 2008
In this paper we develop a nonparametric regression method that is simultaneously adaptive over a wide range of function classes for the regression function and robust over a large collection of error distributions, including those that are heavy-tailed,
Brown, Lawrence D.   +2 more
core   +3 more sources

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