Bayesian bridge-randomized penalized quantile regression estimation for linear regression models with AR(q) perturbation

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

Original language	English
Pages (from-to)	2951 - 2979
Journal	Journal of Statistical Computation and Simulation
Volume	89
Publication status	Published - 2019

Cite this

@article{a31aa9b57fee4967864b21c1267ab5fc,

title = "Bayesian bridge-randomized penalized quantile regression estimation for linear regression models with AR(q) perturbation",

author = "Yuzhu Tian and Tang, \{Man Lai\} and Liyong Wang and Maozai Tian",

year = "2019",

language = "English",

volume = "89",

pages = "2951 -- 2979",

journal = "Journal of Statistical Computation and Simulation",

issn = "1563-5163",

publisher = "Taylor \& Francis Group",

}

TY - JOUR

T1 - Bayesian bridge-randomized penalized quantile regression estimation for linear regression models with AR(q) perturbation

AU - Tian, Yuzhu

AU - Tang, Man Lai

AU - Wang, Liyong

AU - Tian, Maozai

PY - 2019

Y1 - 2019

M3 - Article

SN - 1563-5163

VL - 89

SP - 2951

EP - 2979

JO - Journal of Statistical Computation and Simulation

JF - Journal of Statistical Computation and Simulation

ER -