Search Results - "Mohammad Ali, Haithem Taha"

New Gibbs sampling methods for bayesian regularized quantile regression by Alhamzawi, Rahim, Alhamzawi, Ahmed, Mohammad Ali, Haithem Taha

“…In this paper, we propose new Bayesian hierarchical representations of lasso, adaptive lasso and elastic net quantile regression models. We explore these…”
Get full text

Gene selection for microarray gene expression classification using Bayesian Lasso quantile regression by Algamal, Zakariya Yahya, Alhamzawi, Rahim, Mohammad Ali, Haithem Taha

“…Gene selection has been proven to be an effective way to improve the results of many classification methods. However, existing gene selection techniques in…”
Get full text

The Bayesian adaptive lasso regression by Alhamzawi, Rahim, Ali, Haithem Taha Mohammad

“…•In this paper, We consider a fully Bayesian treatment for the adaptive lasso that leads to a new Gibbs sampler with tractable full conditional…”
Get full text

Improving grasshopper optimization algorithm for hyperparameters estimation and feature selection in support vector regression by Algamal, Zakariya Yahya, Qasim, Maimoonah Khalid, Lee, Muhammad Hisyam, Mohammad Ali, Haithem Taha

“…High-dimensionality is one of the major problems which affect the quality of the classification and prediction modeling. Support vector regression has been…”
Get full text

High-dimensional QSAR/QSPR classification modeling based on improving pigeon optimization algorithm by Algamal, Zakariya Yahya, Qasim, Maimoonah Khalid, Lee, Muhammad Hisyam, Mohammad Ali, Haithem Taha

“…High-dimensionality is one of the major problems which affect the quality of the quantitative structure-activity (property) relationship (QSAR/QSPR)…”
Get full text

Bayesian single-index quantile regression for ordinal data by Alhamzawi, Rahim, Mohammad Ali, Haithem Taha

“…A Bayesian single-index quantile estimation approach for ordinal data is proposed. A simple and efficient MCMC algorithm was developed for posterior…”
Get full text

A new Gibbs sampler for Bayesian lasso by Alhamzawi, Rahim, Taha Mohammad Ali, Haithem

“…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 )…”
Get full text

Bayesian quantile regression for ordinal longitudinal data by Alhamzawi, Rahim, Ali, Haithem Taha Mohammad

“…Since the pioneering work by Koenker and Bassett [27], quantile regression models and its applications have become increasingly popular and important for…”
Get full text

Brq: an R package for Bayesian quantile regression by Alhamzawi, Rahim, Ali, Haithem Taha Mohammad

“…Bayesian regression quantile has received much attention in recent literature. The objective of this paper is to illustrate Brq , a new software package in R…”
Get full text

The Bayesian elastic net regression by Alhamzawi, Rahim, Ali, Haithem Taha Mohammad

“…A Bayesian elastic net approach is presented for variable selection and coefficient estimation in linear regression models. A simple Gibbs sampling algorithm…”
Get full text

Bayesian tobit quantile regression with penalty by Alhamzawi, Rahim, Ali, Haithem Taha Mohammad

“…Tobit quantile regression (QReg) model provides an efficient way of coping with left-censored data and can be viewed as a linear QReg model, where only the…”
Get full text