Estimating mixed logit models with quasi-Monte Carlo sequences allowing practical error estimation

Fabian Bastin, Cinzia Cirillo, Philippe Toint

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Chapter (peer-reviewed)

Original languageFrench
Title of host publicationETC Conference Strasbourg, Proceedings on CD
Publication statusPublished - 2004

Projects

ADALGOPT: ADALGOPT - Advanced algorithms in nonlinear optimization

SARTENAER, A. & TOINT, P.

1/01/87 → …

Project: Research Axis

Discrete choice models

TOINT, P., Cornelis, E., Cirillo, C., Bastin, F., BARTHELEMY, J. & LEGRAIN, L.

1/11/00 → 31/08/15

Project: Research Axis

Student Theses

Trust-region algorithms for nonlinear stochastic programming and mixed logit models

Author: Bastin, F., 12 Mar 2004

Supervisor: Toint, P. (Supervisor), Louveaux, F. (Co-Supervisor), Sartenaer, A. (Jury), Remon, M. (Jury), Bierlaire, M. (External person) (Jury) & Polak, J. (External person) (Jury)

Student thesis: Doc types › Doctor of Sciences

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Cite this

Bastin, F., Cirillo, C., & Toint, P. (2004). Estimating mixed logit models with quasi-Monte Carlo sequences allowing practical error estimation. In ETC Conference Strasbourg, Proceedings on CD