Introduction to the Theory of Imprecise Probability

Abstract The theory of imprecise probability is a generalization classical ‘precise’ that allows modeling imprecision and indecision. This practical advantage in situations where unique precise uncertainty model cannot be justified. arises, for example, when there relatively small amount data available to learn the or model’s structure defined uniquely. tools provides make it possible draw conclusions decisions correctly reflect limited information knowledge task. extra expressivity however often implies higher computational burden. goal this chapter primarily give you necessary able read literature makes use probability. A secondary provide insight needed probabilities your own research. To achieve goals, we present essential concepts techniques from theory, as well less in-depth overview various specific models used. Throughout, examples are used things concrete. We build on assumed basic theory.