Symposium: IP

Symposium on

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.


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