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bayesQR : a Bayesian approach to quantile regression

Dries Benoit UGent and Dirk Van den Poel UGent (2017) JOURNAL OF STATISTICAL SOFTWARE . 76(7). p.1-32
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
journal title
JOURNAL OF STATISTICAL SOFTWARE
volume
76
issue
7
pages
1 - 32
publisher
Foundation for Open Access Statistic
ISSN
1548-7660
DOI
10.18637/jss.v076.i07
language
English
UGent publication?
yes
classification
A1
id
8506477
handle
http://hdl.handle.net/1854/LU-8506477
date created
2017-01-31 16:22:35
date last changed
2017-02-28 12:48:19
@article{8506477,
  author       = {Benoit, Dries and Van den Poel, Dirk},
  issn         = {1548-7660},
  journal      = {JOURNAL OF STATISTICAL SOFTWARE  },
  language     = {eng},
  number       = {7},
  pages        = {1--32},
  publisher    = {Foundation for Open Access Statistic},
  title        = {bayesQR : a Bayesian approach to quantile regression},
  url          = {http://dx.doi.org/10.18637/jss.v076.i07},
  volume       = {76},
  year         = {2017},
}

Chicago
Benoit, Dries, and Dirk Van den Poel. 2017. “bayesQR : a Bayesian Approach to Quantile Regression.” Journal of Statistical Software  76 (7): 1–32.
APA
Benoit, Dries, & Van den Poel, D. (2017). bayesQR : a Bayesian approach to quantile regression. JOURNAL OF STATISTICAL SOFTWARE  , 76(7), 1–32.
Vancouver
1.
Benoit D, Van den Poel D. bayesQR : a Bayesian approach to quantile regression. JOURNAL OF STATISTICAL SOFTWARE  . Foundation for Open Access Statistic; 2017;76(7):1–32.
MLA
Benoit, Dries, and Dirk Van den Poel. “bayesQR : a Bayesian Approach to Quantile Regression.” JOURNAL OF STATISTICAL SOFTWARE  76.7 (2017): 1–32. Print.