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1 Statistical methods for body mass index: A selective review

 

http://journals.sagepub.com/doi/abs/10.1177/0962280216643117

 

2 Inference with three-level prior distributions in quantile regression problems http://www.tandfonline.com/doi/full/10.1080/02664763.2016.1238051

 

3 Bayesian tobit quantile regression with penalty http://www.tandfonline.com/doi/full/10.1080/03610918.2017.1323224

 

4 The Bayesian elastic net regression http://www.tandfonline.com/doi/full/10.1080/03610918.2017.1307399

 

5 Bayesian quantile regression for ordinal longitudinal data http://www.tandfonline.com/doi/full/10.1080/02664763.2017.1315059

 

6 Bayesian elastic net single index quantile regression http://www.tandfonline.com/doi/abs/10.1080/02664763.2016.1189515

 

7 Gravitational lensing in the strong field limit by modified gravity https://link.springer.com/article/10.1007/s10714-016-2161-z

 

8 Bayesian model selection in ordinal quantile regression

 

http://www.sciencedirect.com/science/article/pii/S0167947316300937

 

9 Bayesian Analysis of Composite Quantile Regression

 

https://link.springer.com/article/10.1007/s12561-016-9158-8

 

10 Quantile regression with group lasso for classification

 

https://link.springer.com/article/10.1007/s11634-015-0206-x

 

11 Bayesian Elastic Net Tobit Quantile Regression

 

http://www.tandfonline.com/doi/abs/10.1080/03610918.2014.904341

 

12 Gravitational lensing by f (R, T) gravity http://www.worldscientific.com/doi/abs/10.1142/S0218271816500206

 

13 Circular orbits in modified gravity

 

https://link.springer.com/article/10.1007/s10509-015-2455-8

 

14 Model selection in quantile regression models http://www.tandfonline.com/doi/pdf/10.1080/02664763.2014.959905

 

15 Bayesian tobit quantile regression using g-prior distribution with ridge parameter http://www.tandfonline.com/doi/abs/10.1080/00949655.2014.945449

 

16 Bayesian Lasso-mixed quantile regression http://www.tandfonline.com/doi/abs/10.1080/00949655.2012.731689

 

17 Bayesian lasso binary quantile regression https://link.springer.com/article/10.1007/s00180-013-0439-0

 

18 Conjugate priors and variable selection for Bayesian quantile regression http://www.sciencedirect.com/science/article/pii/S0167947312000345

 

19 Comment on Article by Spokoiny, Wang and Härdle

 

http://www.sciencedirect.com/science/article/pii/S037837581300058X?via%3Dihub

 

20 Bayesian adaptive Lasso quantile regression http://journals.sagepub.com/doi/pdf/10.1177/1471082X1101200304

 

21 Variable selection in quantile regression via Gibbs sampling http://www.tandfonline.com/doi/abs/10.1080/02664763.2011.620082

 

22 Prior elicitation for mixed quantile regression with an allometric model http://onlinelibrary.wiley.com/doi/10.1002/env.1118/abstract

 

23 Power Prior Elicitation in Bayesian Quantile Regression

 

https://www.hindawi.com/journals/jps/2011/874907/

 

 

24 Bayesian Bridge Quantile Regression http://www.tandfonline.com/toc/lssp20/current

 

25 Bayesian variable selection and coefficient estimation in heteroscedastic linear regression models http://www.tandfonline.com/loi/cjas20

 



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