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Outlier-robust Bayesian multinomial choice modeling

Dries Benoit (UGent) , Stefan Van Aelst (UGent) and Dirk Van den Poel (UGent)
(2016) JOURNAL OF APPLIED ECONOMETRICS . 31(7). p.1445-1466
Author
Organization
Project
HPC-UGent: the central High Performance Computing infrastructure of Ghent University
Keywords
QUANTILE REGRESSION, POSTERIOR DISTRIBUTIONS, NONPARAMETRIC APPROACH, MEDIAN REGRESSION, PROBIT MODEL, LIKELIHOOD, MISCLASSIFICATION, IDENTIFICATION

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Citation

Please use this url to cite or link to this publication:

MLA
Benoit, Dries, Stefan Van Aelst, and Dirk Van den Poel. “Outlier-robust Bayesian Multinomial Choice Modeling.” JOURNAL OF APPLIED ECONOMETRICS 31.7 (2016): 1445–1466. Print.
APA
Benoit, Dries, Van Aelst, S., & Van den Poel, D. (2016). Outlier-robust Bayesian multinomial choice modeling. JOURNAL OF APPLIED ECONOMETRICS , 31(7), 1445–1466.
Chicago author-date
Benoit, Dries, Stefan Van Aelst, and Dirk Van den Poel. 2016. “Outlier-robust Bayesian Multinomial Choice Modeling.” Journal of Applied Econometrics 31 (7): 1445–1466.
Chicago author-date (all authors)
Benoit, Dries, Stefan Van Aelst, and Dirk Van den Poel. 2016. “Outlier-robust Bayesian Multinomial Choice Modeling.” Journal of Applied Econometrics 31 (7): 1445–1466.
Vancouver
1.
Benoit D, Van Aelst S, Van den Poel D. Outlier-robust Bayesian multinomial choice modeling. JOURNAL OF APPLIED ECONOMETRICS . 2016;31(7):1445–66.
IEEE
[1]
D. Benoit, S. Van Aelst, and D. Van den Poel, “Outlier-robust Bayesian multinomial choice modeling,” JOURNAL OF APPLIED ECONOMETRICS , vol. 31, no. 7, pp. 1445–1466, 2016.
@article{8506481,
  author       = {Benoit, Dries and Van Aelst, Stefan and Van den Poel, Dirk},
  issn         = {0883-7252},
  journal      = {JOURNAL OF APPLIED ECONOMETRICS },
  keywords     = {QUANTILE REGRESSION,POSTERIOR DISTRIBUTIONS,NONPARAMETRIC APPROACH,MEDIAN REGRESSION,PROBIT MODEL,LIKELIHOOD,MISCLASSIFICATION,IDENTIFICATION},
  language     = {eng},
  number       = {7},
  pages        = {1445--1466},
  title        = {Outlier-robust Bayesian multinomial choice modeling},
  url          = {http://dx.doi.org/10.1002/jae.2482},
  volume       = {31},
  year         = {2016},
}

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