
Introduction to Imprecise Probabilities
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Introduction to Imprecise Probabilities
About this book
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.
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Information
Table of contents
- Cover
- WILEY SERIES IN PROBABILITY AND STATISTICS
- Title Page
- Copyright
- Introduction
- A brief outline of this book
- Guide to the reader
- Contributors
- Acknowledgements
- Chapter 1: Desirability
- Chapter 2: Lower previsions
- Chapter 3: Structural judgements
- Chapter 4: Special cases
- Chapter 5: Other uncertainty theories based on capacities
- Chapter 6: Game-theoretic probability
- Chapter 7: Statistical inference
- Chapter 8: Decision making
- Chapter 9: Probabilistic graphical models
- Chapter 10: Classification
- Chapter 11: Stochastic processes
- Chapter 12: Financial risk measurement
- Chapter 13: Engineering
- Chapter 14: Reliability and risk
- Chapter 15: Elicitation
- Chapter 16: Computation
- References
- Author index
- Subject index
- WILEY SERIES IN PROBABILITY AND STATISTICS
- End User License Agreement