Home › Projects › Robust Data-Driven Optimization: Modeling Incomplete Information on Scenario Probabilities and Risk Preferences
- Main applicant
- MSc (Econ) Peng Xu
- Project name
- Robust Data-Driven Optimization: Modeling Incomplete Information on Scenario Probabilities and Risk Preferences
- Amount
- 23 000 €
- Year
- 2020
- Purpose of use
- Doctoral dissertation
- Support type
- General call for applications
- Grant category
- Datatalous
- Region
- Uusimaa
