Project CEMAPRE internal
| Title | Machine learning applications in economics |
| Participants | João Bastos (Principal Investigator) |
| Summary | This project is a continuation of last year’s project. We will further explore novel techniques to uncover new insights from economic data. One of these techniques is conformal prediction, which allows us to quantify the uncertainty in model predictions with statistically valid guarantees. Additionally, we will investigate the utility of explainable artificial intelligence (XAI) techniques in domains where "black-box" models are not advisable. |