Bayesian adaptive Lasso quantile regression R Alhamzawi, K Yu, DF Benoit Statistical Modelling 12 (3), 279-297, 2012 | 144 | 2012 |

The Bayesian adaptive lasso regression R Alhamzawi, HTM Ali Mathematical biosciences 303, 75-82, 2018 | 75 | 2018 |

Bayesian lasso binary quantile regression DF Benoit, R Alhamzawi, K Yu Computational Statistics 28 (6), 2861-2873, 2013 | 58 | 2013 |

Gravitational lensing by gravity A Alhamzawi, R Alhamzawi International Journal of Modern Physics D 25 (02), 1650020, 2016 | 56 | 2016 |

Variable selection in quantile regression via Gibbs sampling R Alhamzawi, K Yu Journal of Applied Statistics 39 (4), 799-813, 2012 | 55 | 2012 |

Conjugate priors and variable selection for Bayesian quantile regression R Alhamzawi, K Yu Computational Statistics & Data Analysis 64, 209-219, 2013 | 54 | 2013 |

Bayesian Lasso-mixed quantile regression R Alhamzawi, K Yu Journal of Statistical Computation and Simulation 84 (4), 868-880, 2014 | 37 | 2014 |

Bayesian elastic net Tobit quantile regression R Alhamzawi Communications in Statistics-Simulation and Computation 45 (7), 2409-2427, 2016 | 34 | 2016 |

Bayesian quantile regression for ordinal longitudinal data R Alhamzawi, HTM Ali Journal of Applied Statistics 45 (5), 815-828, 2018 | 33 | 2018 |

bayesQR: Bayesian quantile regression D Benoit, R Al-Hamzawi, K Yu, D Van den Poel | 33 | 2011 |

Model selection in quantile regression models R Alhamzawi Journal of Applied Statistics 42 (2), 445-458, 2015 | 30 | 2015 |

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 | 24 | 2018 |

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 | 24 | 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 | 22 | 2015 |

Bayesian model selection in ordinal quantile regression R Alhamzawi Computational Statistics & Data Analysis 103, 68-78, 2016 | 21 | 2016 |

Bayesian tobit quantile regression with penalty R Alhamzawi, HTM Ali Communications in Statistics-Simulation and Computation 47 (6), 1739-1750, 2018 | 18 | 2018 |

Prior elicitation for mixed quantile regression with an allometric model R Alhamzawi, K Yu, V Vinciotti, A Tucker Environmetrics 22 (7), 911-920, 2011 | 16 | 2011 |

Brq: An r package for bayesian quantile regression R Alhamzawi, HTM Ali METRON 78 (3), 313-328, 2020 | 15 | 2020 |

Bayesian elastic net single index quantile regression T Alshaybawee, H Midi, R Alhamzawi Journal of Applied Statistics 44 (5), 853-871, 2017 | 15 | 2017 |

The Bayesian elastic net regression R Alhamzawi, HTM Ali Communications in Statistics-Simulation and Computation 47 (4), 1168-1178, 2018 | 14 | 2018 |