Fourth SIPTA Summer School, Durham, UK
Uncertainty is often modelled by a probability distribution, and treated using techniques from probability theory. When information is scarce, vague, or conflicting, though, a unique probability distribution may be hard to identify. In that case, imprecise probability aims to represent the really available knowledge, and provides tools to model and work with weaker states of information. This includes both qualitative and quantitative models.
The aim of the summer school is to introduce interested students and researchers with the basics of imprecise probability topics, both theoretical and applied.
Participants will have the chance to learn from specialists in different aspects of imprecise probabilities, with lectures on the main concepts and techniques associated to a teacher's area of expertise. An important part of the time is devoted to the resolution of proposed exercises involving applied problems.For further information, please visit:
http://www.maths.dur.ac.uk/users/matthias.troffaes/siptass10/(opens in new window)