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Rahim Alhamzawi
Rahim Alhamzawi
Professor of Statistics, University of Al-Qadisiyah
Verified email at qu.edu.iq - Homepage
Title
Cited by
Cited by
Year
Bayesian adaptive Lasso quantile regression
R Alhamzawi, K Yu, DF Benoit
Statistical Modelling 12 (3), 279-297, 2012
1442012
The Bayesian adaptive lasso regression
R Alhamzawi, HTM Ali
Mathematical biosciences 303, 75-82, 2018
752018
Bayesian lasso binary quantile regression
DF Benoit, R Alhamzawi, K Yu
Computational Statistics 28 (6), 2861-2873, 2013
582013
Gravitational lensing by gravity
A Alhamzawi, R Alhamzawi
International Journal of Modern Physics D 25 (02), 1650020, 2016
562016
Variable selection in quantile regression via Gibbs sampling
R Alhamzawi, K Yu
Journal of Applied Statistics 39 (4), 799-813, 2012
552012
Conjugate priors and variable selection for Bayesian quantile regression
R Alhamzawi, K Yu
Computational Statistics & Data Analysis 64, 209-219, 2013
542013
Bayesian Lasso-mixed quantile regression
R Alhamzawi, K Yu
Journal of Statistical Computation and Simulation 84 (4), 868-880, 2014
372014
Bayesian elastic net Tobit quantile regression
R Alhamzawi
Communications in Statistics-Simulation and Computation 45 (7), 2409-2427, 2016
342016
Bayesian quantile regression for ordinal longitudinal data
R Alhamzawi, HTM Ali
Journal of Applied Statistics 45 (5), 815-828, 2018
332018
bayesQR: Bayesian quantile regression
D Benoit, R Al-Hamzawi, K Yu, D Van den Poel
332011
Model selection in quantile regression models
R Alhamzawi
Journal of Applied Statistics 42 (2), 445-458, 2015
302015
Gene selection for microarray gene expression classification using Bayesian Lasso quantile regression
ZY Algamal, R Alhamzawi, HTM Ali
Computers in biology and medicine 97, 145-152, 2018
242018
Quantile regression with group lasso for classification
H Hashem, V Vinciotti, R Alhamzawi, K Yu
Advances in Data Analysis and Classification 10 (3), 375-390, 2016
242016
Bayesian Tobit quantile regression using g-prior distribution with ridge parameter
R Alhamzawi, K Yu
Journal of Statistical Computation and Simulation 85 (14), 2903-2918, 2015
222015
Bayesian model selection in ordinal quantile regression
R Alhamzawi
Computational Statistics & Data Analysis 103, 68-78, 2016
212016
Bayesian tobit quantile regression with penalty
R Alhamzawi, HTM Ali
Communications in Statistics-Simulation and Computation 47 (6), 1739-1750, 2018
182018
Prior elicitation for mixed quantile regression with an allometric model
R Alhamzawi, K Yu, V Vinciotti, A Tucker
Environmetrics 22 (7), 911-920, 2011
162011
Brq: An r package for bayesian quantile regression
R Alhamzawi, HTM Ali
METRON 78 (3), 313-328, 2020
152020
Bayesian elastic net single index quantile regression
T Alshaybawee, H Midi, R Alhamzawi
Journal of Applied Statistics 44 (5), 853-871, 2017
152017
The Bayesian elastic net regression
R Alhamzawi, HTM Ali
Communications in Statistics-Simulation and Computation 47 (4), 1168-1178, 2018
142018
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