Search Results - "Alhamzawi, Rahim"
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The reciprocal Bayesian bridge for left-censored data
Published in Communications in statistics. Simulation and computation (03-08-2023)“…We propose two Bayesian methods for regularized left censored regression: the reciprocal Bayesian bridge and the reciprocal Bayesian adaptive bridge. Gibbs…”
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Bayesian bridge and reciprocal bridge composite quantile regression
Published in Communications in statistics. Simulation and computation (02-08-2024)“…Bayesian regularized composite quantile regression approaches with bridge and reciprocal bridge penalties are adopted to conduct variable selection in…”
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Bayesian reciprocal LASSO quantile regression
Published in Communications in statistics. Simulation and computation (02-11-2022)“…The reciprocal LASSO estimate for linear regression corresponds to a posterior mode when independent inverse Laplace priors are assigned on the regression…”
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The reciprocal Bayesian LASSO
Published in Statistics in medicine (30-09-2021)“…A reciprocal LASSO (rLASSO) regularization employs a decreasing penalty function as opposed to conventional penalization approaches that use increasing…”
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Bayesian Analysis of Composite Quantile Regression
Published in Statistics in biosciences (01-10-2016)“…This paper introduces a Bayesian approach for composite quantile regression employing the skewed Laplace distribution for the error distribution. We use a…”
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Gravitational lensing in the strong field limit by modified gravity
Published in General relativity and gravitation (01-12-2016)“…An investigation of the strong gravitational lensing in specific model of modified gravity is presented. It is shown that a slight modification to the general…”
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New Gibbs sampling methods for bayesian regularized quantile regression
Published in Computers in biology and medicine (01-07-2019)“…In this paper, we propose new Bayesian hierarchical representations of lasso, adaptive lasso and elastic net quantile regression models. We explore these…”
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Gene selection for microarray gene expression classification using Bayesian Lasso quantile regression
Published in Computers in biology and medicine (01-06-2018)“…Gene selection has been proven to be an effective way to improve the results of many classification methods. However, existing gene selection techniques in…”
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Bayesian single-index quantile regression for ordinal data
Published in Communications in statistics. Simulation and computation (03-05-2020)“…A Bayesian single-index quantile estimation approach for ordinal data is proposed. A simple and efficient MCMC algorithm was developed for posterior…”
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A new Gibbs sampler for Bayesian lasso
Published in Communications in statistics. Simulation and computation (02-07-2020)“…Lasso regression, a special case of Bridge regression of a penalty function with q = 1, is considered from a Bayesian perspective. Park and Casella ( 2008 )…”
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Bayesian adaptive Lasso quantile regression
Published in Statistical modelling (01-06-2012)“…Recently, variable selection by penalized likelihood has attracted much research interest. In this paper, we propose adaptive Lasso quantile regression (BALQR)…”
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Statistical methods for body mass index: A selective review
Published in Statistical methods in medical research (01-03-2018)“…Obesity rates have been increasing over recent decades, causing significant concern among policy makers. Excess body fat, commonly measured by body mass index,…”
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The Probiotic Lactobacillus sakei Subsp. Sakei and Hawthorn Extract Supplements Improved Growth Performance, Digestive Enzymes, Immunity, and Resistance to the Pesticide Acetamiprid in Common Carp (Cyprinus carpio)
Published in Aquaculture nutrition (2023)“…This study evaluated the impacts of the probiotic, Lactobacillus sakei (L. sakei), and the extract of hawthorn, Crataegus elbursensis, on growth and immunity…”
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Quantile Regression and Beyond in Statistical Analysis of Data
Published in Journal of probability and statistics (2019)Get full text
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Bayesian model selection in ordinal quantile regression
Published in Computational statistics & data analysis (01-11-2016)“…A Bayesian stochastic search variable selection (BSSVS) method is presented for variable selection in quantile regression (QReg) for ordinal models. A Markov…”
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Bayesian Elastic Net Tobit Quantile Regression
Published in Communications in statistics. Simulation and computation (08-08-2016)“…In this article, the problem of parameter estimation and variable selection in the Tobit quantile regression model is considered. A Tobit quantile regression…”
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Power Prior Elicitation in Bayesian Quantile Regression
Published in Journal of probability and statistics (01-01-2011)“…We address a quantile dependent prior for Bayesian quantile regression. We extend the idea of the power prior distribution in Bayesian quantile regression by…”
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The Bayesian adaptive lasso regression
Published in Mathematical biosciences (01-09-2018)“…•In this paper, We consider a fully Bayesian treatment for the adaptive lasso that leads to a new Gibbs sampler with tractable full conditional…”
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19
Model selection in quantile regression models
Published in Journal of applied statistics (01-02-2015)“…Lasso methods are regularisation and shrinkage methods widely used for subset selection and estimation in regression problems. From a Bayesian perspective, the…”
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Inference with three-level prior distributions in quantile regression problems
Published in Journal of applied statistics (18-08-2017)“…In this paper, we propose a three level hierarchical Bayesian model for variable selection and estimation in quantile regression problems. Specifically, at the…”
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