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Olivier Paul Faugeras

Personal Details

First Name:Olivier
Middle Name:Paul
Last Name:Faugeras
Suffix:
RePEc Short-ID:pfa337
[This author has chosen not to make the email address public]

Affiliation

Groupe de Recherche en Économie Mathématique et Quantitative (GREMAQ)
Toulouse School of Economics (TSE)

Toulouse, France
http://www-gremaq.univ-tlse1.fr/

: 05.61.62.85.56
05 61 22 55 63
Manufacture des Tabacs - Bâtiment F, 21 Alléee de Brienne, 31000 TOULOUSE
RePEc:edi:getlsfr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Faugeras, Olivier, 2009. "Prediction via the Quantile-Copula Conditional Density Estimator," TSE Working Papers 09-124, Toulouse School of Economics (TSE).

Articles

  1. Faugeras, Olivier P., 2009. "A quantile-copula approach to conditional density estimation," Journal of Multivariate Analysis, Elsevier, vol. 100(9), pages 2083-2099, October.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Faugeras, Olivier P., 2009. "A quantile-copula approach to conditional density estimation," Journal of Multivariate Analysis, Elsevier, vol. 100(9), pages 2083-2099, October.

    Cited by:

    1. Gery Geenens & Richard Dunn, 2017. "A nonparametric copula approach to conditional Value-at-Risk," Papers 1712.05527, arXiv.org.
    2. Bessa, Ricardo J. & Miranda, V. & Botterud, A. & Zhou, Z. & Wang, J., 2012. "Time-adaptive quantile-copula for wind power probabilistic forecasting," Renewable Energy, Elsevier, vol. 40(1), pages 29-39.
    3. Janssen, Paul & Swanepoel, Jan & Veraverbeke, Noël, 2017. "Smooth copula-based estimation of the conditional density function with a single covariate," Journal of Multivariate Analysis, Elsevier, vol. 159(C), pages 39-48.
    4. Bulla, Ingo & Chesneau, Christophe & Navarro, Fabien & Mark, Tanya, 2015. "A note on the adaptive estimation of a bi-dimensional density in the case of knowledge of the copula density," Statistics & Probability Letters, Elsevier, vol. 105(C), pages 6-13.
    5. Otneim, Håkon & Tjøstheim, Dag, 2016. "Non-parametric estimation of conditional densities: A new method," Discussion Papers 2016/22, Norwegian School of Economics, Department of Business and Management Science.
    6. Gery Geenens & Arthur Charpentier & Davy Paindaveine, 2014. "Probit Transformation for Nonparametric Kernel Estimation of the Copula Density," Working Papers ECARES ECARES 2014-23, ULB -- Universite Libre de Bruxelles.
    7. Faugeras, Olivier, 2009. "Prediction via the Quantile-Copula Conditional Density Estimator," TSE Working Papers 09-124, Toulouse School of Economics (TSE).

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (1) 2010-05-22. Author is listed

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