| Bayesian adaptive Lasso quantile regression R Alhamzawi, K Yu, DF Benoit Statistical Modelling 12 (3), 279-297, 2012 | 183 | 2012 |
| The Bayesian adaptive lasso regression R Alhamzawi, HTM Ali Mathematical biosciences 303, 75-82, 2018 | 146 | 2018 |
| Gravitational lensing by gravity A Alhamzawi, R Alhamzawi International Journal of Modern Physics D 25 (02), 1650020, 2016 | 74 | 2016 |
| Conjugate priors and variable selection for Bayesian quantile regression R Alhamzawi, K Yu Computational Statistics & Data Analysis 64, 209-219, 2013 | 73 | 2013 |
| Bayesian lasso binary quantile regression DF Benoit, R Alhamzawi, K Yu Computational Statistics 28, 2861-2873, 2013 | 70 | 2013 |
| Variable selection in quantile regression via Gibbs sampling R Alhamzawi, K Yu Journal of Applied Statistics 39 (4), 799-813, 2012 | 68 | 2012 |
| Bayesian elastic net tobit quantile regression R Alhamzawi Communications in Statistics-Simulation and Computation 45 (7), 2409-2427, 2016 | 50 | 2016 |
| Bayesian Lasso-mixed quantile regression R Alhamzawi, K Yu Journal of Statistical Computation and Simulation 84 (4), 868-880, 2014 | 45 | 2014 |
| 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 | 41 | 2018 |
| Bayesian quantile regression for ordinal longitudinal data R Alhamzawi, HTM Ali Journal of Applied Statistics 45 (5), 815-828, 2018 | 41 | 2018 |
| Brq: An R package for Bayesian quantile regression R Alhamzawi, HTM Ali Metron 78 (3), 313-328, 2020 | 39 | 2020 |
| Model selection in quantile regression models R Alhamzawi Journal of Applied Statistics 42 (2), 445-458, 2015 | 35 | 2015 |
| Quantile regression with group lasso for classification H Hashem, V Vinciotti, R Alhamzawi, K Yu Advances in Data Analysis and Classification 10, 375-390, 2016 | 28 | 2016 |
| 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 | 28 | 2015 |
| Bayesian tobit quantile regression with penalty R Alhamzawi, HTM Ali Communications in Statistics-Simulation and Computation 47 (6), 1739-1750, 2018 | 27 | 2018 |
| Bayesian model selection in ordinal quantile regression R Alhamzawi Computational statistics & data analysis 103, 68-78, 2016 | 26 | 2016 |
| bayesQR: Bayesian quantile regression D Benoit, R Al-Hamzawi, K Yu, D Van den Poel | 25 | 2011 |
| Bayesian elastic net single index quantile regression T Alshaybawee, H Midi, R Alhamzawi Journal of Applied Statistics 44 (5), 853-871, 2017 | 24 | 2017 |
| Prior elicitation for mixed quantile regression with an allometric model R Alhamzawi, K Yu, V Vinciotti, A Tucker Environmetrics 22 (7), 911-920, 2011 | 23 | 2011 |
| The Bayesian elastic net regression R Alhamzawi, HTM Ali Communications in Statistics-Simulation and Computation 47 (4), 1168-1178, 2018 | 20 | 2018 |
