Code
01D19619
Duration
01 October 2019 → 31 October 2020
Funding
Regional and community funding: Special Research Fund
Promotor
Fellow
Research disciplines
-
Natural sciences
- Probability theory
- Statistics and numerical methods not elsewhere classified
- Knowledge representation and reasoning
Keywords
learning from data
Uncertainty
randomness
statistical estimation
interval predictions
Project description
We aim to develop a new framework for describing and estimating the uncertainty that is associated with data sequences. Our goals are similar to those of traditional statistics, but the crucial difference is that we intend to do drop the restrictive assumption that uncertainty should be described by a probability measure, resulting in methods that are more reliable and robust.