Stable Lévy Processes via Lamperti-Type Representations
eBook - PDF

Stable Lévy Processes via Lamperti-Type Representations

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Stable Lévy Processes via Lamperti-Type Representations

About this book

Stable Lévy processes lie at the intersection of Lévy processes and self-similar Markov processes. Processes in the latter class enjoy a Lamperti-type representation as the space-time path transformation of so-called Markov additive processes (MAPs). This completely new mathematical treatment takes advantage of the fact that the underlying MAP for stable processes can be explicitly described in one dimension and semi-explicitly described in higher dimensions, and uses this approach to catalogue a large number of explicit results describing the path fluctuations of stable Lévy processes in one and higher dimensions. Written for graduate students and researchers in the field, this book systemically establishes many classical results as well as presenting many recent results appearing in the last decade, including previously unpublished material. Topics explored include first hitting laws for a variety of sets, path conditionings, law-preserving path transformations, the distribution of extremal points, growth envelopes and winding behaviour.

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Yes, you can access Stable Lévy Processes via Lamperti-Type Representations by Andreas E. Kyprianou,Juan Carlos Pardo 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.

Table of contents

  1. Cover
  2. Half-title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication
  7. Contents
  8. Notation
  9. Preface
  10. Acknowledgements
  11. 1 Stable distributions
  12. 2 Lévy processes
  13. 3 Stable processes
  14. 4 Hypergeometric Lévy processes
  15. 5 Positive self-similar Markov processes
  16. 6 Spatial fluctuations in one dimension
  17. 7 Doney–Kuznetsov factorisation and the maximum
  18. 8 Asymptotic behaviour for stable processes
  19. 9 Envelopes of positive self-similar Markov processes
  20. 10 Asymptotic behaviour for path transformations
  21. 11 Markov additive and self-similar Markov processes
  22. 12 Stable processes as self-similar Markov processes
  23. 13 Radial reflection and the deep factorisation
  24. 14 Spatial fluctuations and the unit sphere
  25. 15 Applications of radial excursion theory
  26. 16 Windings and up-crossings of stable processes
  27. Appendix
  28. References
  29. Index