البحوث المنشورة
Selected Publications [Data Provided by Scopus]
1. Bayesian Adaptive Lasso binary regression with ridge parameter. Journal of Physics: Conference Series, vol.1294, pp., 2019-10-25.
2. Bayesian bridge regression for ordinal models with a practical application. Journal of Physics: Conference Series, vol.1294, pp., 2019-10-25.
3. Generalized Gibbons-Hawking-York term for f(R) gravity. . Journal of Physics: Conference Series, vol.1294,
pp., 2019-10-25.4. Preface. Journal of Physics: Conference Series, vol.1234, pp., 2019-07-05.
5. New Gibbs sampling methods for bayesian regularized quantile regression. Computers in Biology and Medicine, vol.110, pp.52-65, 2019-07-01.
6. Bayesian bridge quantile regression. Communications in Statistics: Simulation and Computation, vol.48, pp.944-956, 2019-03-16.
7. Quantile Regression and beyond in Statistical Analysis of Data. Journal of Probability and Statistics, vol.2019, pp., 2019-01-01.
8. Bayesian variable selection and coefficient estimation in heteroscedastic linear regression model, Journal of Applied Statistics, vol. 45, no. 14, pp. 2643–2657, 2018.
9. The Bayesian adaptive lasso regression, Mathematical Biosciences, vol. 303, pp. 75–82, 2018.
10. Bayesian tobit quantile regression with L<inf>1/2</inf>penalty, Communications in Statistics: Simulation and Computation, vol. 47, no. 6, pp. 1739–1750, 2018.
11. Gene selection for microarray gene expression classification using Bayesian Lasso quantile regression, Computers in Biology and Medicine, vol. 97, pp. 145–152, 2018.
12. The Bayesian elastic net regression, Communications in Statistics: Simulation and Computation, vol. 47, no. 4, pp. 1168–1178, 2018.
13. Bayesian quantile regression for ordinal longitudinal data, Journal of Applied Statistics, vol. 45, no. 5, pp. 815–828, 2018.
14. Statistical methods for body mass index: A selective review, Statistical Methods in Medical Research, vol. 27, no. 3, pp. 798–811, 2018.
15. Bayesian bridge quantile regression, Communications in Statistics: Simulation and Computation, pp. 0, 2018.
16. Inference with three-level prior distributions in quantile regression problems, Journal of Applied Statistics, vol. 44, no. 11, pp. 1947–1959, 2017.
17. Bayesian elastic net single index quantile regression, Journal of Applied Statistics, vol. 44, no. 5, pp. 853–871, 2017.
18. Gravitational lensing in the strong field limit by modified gravity, General Relativity and Gravitation, vol. 48, no. 12, pp. , 2016.
19. Bayesian model selection in ordinal quantile regression, Computational Statistics and Data Analysis, vol. 103, pp. 68–78, 2016.
20. Bayesian Analysis of Composite Quantile Regression, Statistics in Biosciences, vol. 8, no. 2, pp. 358–373, 2016.
21. Quantile regression with group lasso for classification, Advances in Data Analysis and Classification, vol. 10, no. 3, pp. 375–390, 2016.
22. Bayesian Elastic Net Tobit Quantile Regression, Communications in Statistics: Simulation and Computation, vol. 45, no. 7, pp. 2409–2427, 2016.
23. Gravitational lensing by f (R, T) gravity, International Journal of Modern Physics D, vol. 25, no. 2, pp. , 2016
24. Circular orbits in modified gravity, Astrophysics and Space Science, vol. 358, no. 2, pp. , 2015.
25. Model selection in quantile regression models, Journal of Applied Statistics, vol. 42, no. 2, pp. 445–458, 2015.
26. Bayesian tobit quantile regression using g-prior distribution with ridge parameter, Journal of Statistical Computation and Simulation, vol. 85, no. 14, pp. 2903–2918, 2015.
27. Bayesian Lasso-mixed quantile regression, Journal of Statistical Computation and Simulation, vol. 84, no. 4, pp. 868–880, 2014.
28. Bayesian lasso binary quantile regression, Computational Statistics, vol. 28, no. 6, pp. 2861–2873, 2013.
29. Conjugate priors and variable selection for Bayesian quantile regression, Computational Statistics and Data Analysis, vol. 64, pp. 209–219, 2013.
30. Comment on Article by Spokoiny, Wang and Härdle, Journal of Statistical Planning and Inference, vol. 143, no. 7, pp. 1140–1144, 2013.
31. Bayesian adaptive Lasso quantile regression, Statistical Modelling, vol. 12, no. 3, pp. 279–297, 2012.
32. Variable selection in quantile regression via Gibbs sampling, Journal of Applied Statistics, vol. 39, no. 4, pp. 799–813, 2012.
33. Prior elicitation for mixed quantile regression with an allometric model, Environmetrics, 22(7), 911-920, 2011.
34. Power prior elicitation in Bayesian quantile regression, Journal of Probability and Statistics, 2011.