Imprecise Probability, Theory and Applications
Imprecise Probability (IP) provides a framework of theories and methods to quantify uncertainty in a more general way than classical (precise) probability. It can reflect different kinds of uncertainty, e.g. based on the quantity and quality of statistical information available.
- Prof Gert de Cooman (Ghent University, Belgium)
- Dr Jasper de Bock (Ghent University, Belgium)
- Prof Frank Coolen (Durham University, UK)
This symposium provides a platform for presentation of recent developments in IP, including but not limited to results achieved within the H2020 UTOPIAE ETN.
The symposium will consist of two sessions focusing on methodology of imprecise probability with specific attention to applications in engineering. Each session will consist of both invited and contributed presentations.
Topics of interest include:
- Imprecise probability for engineering applications
- Stochastic processes with imprecision
- Imprecise statistical inference
- Imprecision in reliability and risk
- Uncertainty quantification with imprecision
- Optimisation with imprecision
- Computational methods