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The ISIPTA meetings are the primary international forum to present and discuss new results on the theories and applications of imprecise probability. Imprecise probability is a generic term for the many mathematical and statistical models and methods, allowing us to measure chance or uncertainty without the restriction of sharp probabilities. These models include lower and upper expectations or previsions, interval-valued probabilities, sets of probability measures, belief functions, Choquet capacities, comparative probability orderings, possibility measures, plausibility measures, and sets of desirable gambles. Imprecise probability models are needed in inference and decision problems where the relevant information is scarce, vague or conflicting, and where preferences may be incomplete.
It is a tradition of the ISIPTA meetings that we try to avoid parallel sessions. Each accepted paper is to be presented both
After the conference, selected papers will appear in a special issue of the International Journal of Approximate Reasoning.
We also invite posters without a paper and hope to attract people who wish to present and discuss their work within the framework of the conference, for instance, for practitioners who wish to discuss possibilities for applications in their field using imprecise probabilities, or for starting students. A poster without paper can also be an option to advertise ongoing work or to discuss challenges.
The symposium is open to contributions on all aspects of imprecise probability. Topics of interest include, but are not limited to:
All papers will be reviewed. Accepted papers will be published online and in print in the Conference Proceedings. If you wish to present a poster without paper, please submit a one-page abstract of the work you intend to present. Abstracts of accepted posters will be made available at the conference and online.
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