RESEARCHER PROFILE

Rahim Alhamzawi

← Back to University of Al-Qadisiyah

R

University of Al-Qadisiyah

Statistical Methods and Bayesian InferenceStatistical Methods and InferenceStatistical Distribution Estimation and ApplicationsMarkov Chains and Monte Carlo MethodsAdvanced Statistical Methods and Models

Rahim Alhamzawi works in Statistical Methods and Bayesian Inference, Statistical Methods and Inference, Statistical Distribution Estimation and Applications, Markov Chains and Monte Carlo Methods, Advanced Statistical Methods and Models. Recorded institutional associations include University of Al-Qadisiyah.

68Publications
1,219Citations
18H-index

ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. The Bayesian adaptive lasso regression

    2018 · 265 citations

  2. Bayesian adaptive Lasso quantile regression

    2012 · 162 citations

  3. Gravitational lensing by f(R,T) gravity

    2015 · 74 citations

  4. Conjugate priors and variable selection for Bayesian quantile regression

    2012 · 61 citations

  5. Bayesian lasso binary quantile regression

    2013 · 56 citations

  6. Variable selection in quantile regression via Gibbs sampling

    2011 · 53 citations

  7. Bayesian quantile regression for ordinal longitudinal data

    2017 · 45 citations

  8. Bayesian Lasso-mixed quantile regression

    2012 · 38 citations

  9. Gene selection for microarray gene expression classification using Bayesian Lasso quantile regression

    2018 · 36 citations

  10. Bayesian Elastic Net Tobit Quantile Regression

    2014 · 35 citations

  11. Brq: an R package for Bayesian quantile regression

    2020 · 32 citations

  12. Quantile regression with group lasso for classification

    2015 · 28 citations

  13. Bayesian tobit quantile regression with penalty

    2017 · 26 citations

  14. Bayesian Tobit quantile regression usingg-prior distribution with ridge parameter

    2014 · 26 citations

  15. Model selection in quantile regression models

    2014 · 23 citations

  16. Bayesian model selection in ordinal quantile regression

    2016 · 21 citations

  17. Bayesian bridge quantile regression

    2018 · 18 citations

  18. Bayesian elastic net single index quantile regression

    2016 · 18 citations

  19. Prior elicitation for mixed quantile regression with an allometric model

    2011 · 18 citations

  20. 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)

    2023 · 16 citations

  21. bayesQR: Bayesian quantile regression

    2011 · 16 citations

  22. The Bayesian elastic net regression

    2017 · 15 citations

  23. Statistical methods for body mass index: A selective review

    2016 · 15 citations

  24. New Gibbs sampling methods for bayesian regularized quantile regression

    2019 · 13 citations

  25. A new Gibbs sampler for Bayesian lasso

    2018 · 12 citations

← Return to the university profile