Introduction To Imprecise Probabilities

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In recent years, the theory has become widely accepted and has been further developed, but a detailed introduction is needed in order to make the material available and accessible to a wide audience

All authors of individual chapters are leading researchers on the specific topics, assuring high quality and up-to-date contents

An Introduction to Imprecise Probabilities provides a comprehensive introduction to imprecise probabilities, including theory and applications reflecting the current state if the art

Each chapter is written by experts on the respective topics, including Sets of desirable gambles Coherent lower conditional previsions Special cases and links to literature Decision making Graphical models Classification Reliability and risk assessment Statistical inference Structural judgments Aspects of implementation including elicitation and computation Models in finance Game-theoretic probability Stochastic processes including Markov chains Engineering applications

Essential reading for researchers in academia, research institutes and other organizations, as well as practitioners engaged in areas such as risk analysis and engineering.

This will be the first book providing such an introduction, covering core theory and recent developments which can be applied to many application areas

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