Project Details
Description
Discrete choice models and in particular store choice models are becoming more and more complex. Their calibration requires huge quantity of data and is often costly. This research studies how to reduce such costs by for instance making sampling processes and data collection methods more efficient.
| Status | Active |
|---|---|
| Effective start/end date | 1/01/05 → … |
Keywords
- modèles de choix
- modeles de choix
- comportements de shopping
- echantillonnage
- échantillonnage
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