Introduction to Imprecise Probabilities
  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

About this book

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

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Yes, you can access Introduction to Imprecise Probabilities by Thomas Augustin, Frank P. A. Coolen, Gert de Cooman, Matthias C. M. Troffaes, Thomas Augustin,Frank P. A. Coolen,Gert de Cooman,Matthias C. M. Troffaes in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2014
Print ISBN
9780470973813
eBook ISBN
9781118763148

Table of contents

  1. Cover
  2. WILEY SERIES IN PROBABILITY AND STATISTICS
  3. Title Page
  4. Copyright
  5. Introduction
  6. A brief outline of this book
  7. Guide to the reader
  8. Contributors
  9. Acknowledgements
  10. Chapter 1: Desirability
  11. Chapter 2: Lower previsions
  12. Chapter 3: Structural judgements
  13. Chapter 4: Special cases
  14. Chapter 5: Other uncertainty theories based on capacities
  15. Chapter 6: Game-theoretic probability
  16. Chapter 7: Statistical inference
  17. Chapter 8: Decision making
  18. Chapter 9: Probabilistic graphical models
  19. Chapter 10: Classification
  20. Chapter 11: Stochastic processes
  21. Chapter 12: Financial risk measurement
  22. Chapter 13: Engineering
  23. Chapter 14: Reliability and risk
  24. Chapter 15: Elicitation
  25. Chapter 16: Computation
  26. References
  27. Author index
  28. Subject index
  29. WILEY SERIES IN PROBABILITY AND STATISTICS
  30. End User License Agreement