Bayesian LASSO-Regularized quantile regression for linear regression models with autoregressive errors

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	777 - 796
Journal	Communications in Statistics - Simulation and Computation
Volume	48
Publication status	Published - 2019

Cite this

@article{b170373cfdf44a42bcb10f2be93455b3,

title = "Bayesian LASSO-Regularized quantile regression for linear regression models with autoregressive errors",

author = "Yuzhu Tian and Silian Shen and Ge Lu and Tang, \{Man Lai\} and Maozai Tian",

year = "2019",

language = "English",

volume = "48",

pages = "777 -- 796",

journal = "Communications in Statistics - Simulation and Computation",

issn = "1532-4141",

publisher = "Taylor \& Francis Group",

}

TY - JOUR

T1 - Bayesian LASSO-Regularized quantile regression for linear regression models with autoregressive errors

AU - Tian, Yuzhu

AU - Shen, Silian

AU - Lu, Ge

AU - Tang, Man Lai

AU - Tian, Maozai

PY - 2019

Y1 - 2019

M3 - Article

SN - 1532-4141

VL - 48

SP - 777

EP - 796

JO - Communications in Statistics - Simulation and Computation

JF - Communications in Statistics - Simulation and Computation

ER -