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Look Inside Lectures on the Poisson Process

Lectures on the Poisson Process

$34.99 (P)

Part of Institute of Mathematical Statistics Textbooks

  • Publication planned for: October 2017
  • availability: Not yet published - available from October 2017
  • format: Paperback
  • isbn: 9781107458437

$ 34.99 (P)
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About the Authors
  • The Poisson process, a core object in modern probability, enjoys a richer theory than is sometimes appreciated. This volume develops the theory in the setting of a general abstract measure space, establishing basic results and properties as well as certain advanced topics in the stochastic analysis of the Poisson process. Also discussed are applications and related topics in stochastic geometry, including stationary point processes, the Boolean model, the Gilbert graph, stable allocations, and hyperplane processes. Comprehensive, rigorous, and self-contained, this text is ideal for graduate courses or for self-study, with a substantial number of exercises for each chapter. Mathematical prerequisites, mainly a sound knowledge of measure-theoretic probability, are kept in the background, but are reviewed comprehensively in the appendix. The authors are well-known researchers in probability theory; especially stochastic geometry. Their approach is informed both by their research and by their extensive experience in teaching at undergraduate and graduate levels.

    • Incorporates material impossible to find in any other book, including recent advances
    • Exercises have been classroom tested over several years
    • Includes numerous exercises, detailed appendices, and historical comments
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    Product details

    • Publication planned for: October 2017
    • format: Paperback
    • isbn: 9781107458437
    • length: 314 pages
    • dimensions: 227 x 153 x 15 mm
    • weight: 0.46kg
    • availability: Not yet published - available from October 2017
  • Table of Contents

    Preface
    List of symbols
    1. Poisson and other discrete distributions
    2. Point processes
    3. Poisson processes
    4. The Mecke equation and factorial measures
    5. Mappings, markings and thinnings
    6. Characterisations of the Poisson process
    7. Poisson processes on the real line
    8. Stationary point processes
    9. The Palm distribution
    10. Extra heads and balanced allocations
    11. Stable allocations
    12. Poisson integrals
    13. Random measures and Cox processes
    14. Permanental processes
    15. Compound Poisson processes
    16. The Boolean model and the Gilbert graph
    17. The Boolean model with general grains
    18. Fock space and chaos expansion
    19. Perturbation analysis
    20. Covariance identities
    21. Normal approximation
    22. Normal approximation in the Boolean model
    Appendix A. Some measure theory
    Appendix B. Some probability theory
    Appendix C. Historical notes
    References
    Index.

  • Authors

    Günter Last, Karlsruhe Institute of Technology, Germany
    Günter Last is Professor of Stochastics at the Karlsruhe Institute of Technology, Germany. He is a distinguished probabilist with particular expertise in stochastic geometry, point processes, and random measures. He coauthored a research monograph on marked point processes on the line as well as two textbooks on general mathematics. He has given many invited talks on his research worldwide.

    Mathew Penrose, University of Bath
    Mathew Penrose is Professor of Probability at the University of Bath. He is an internationally leading researcher in stochastic geometry and applied probability and is the author of the influential monograph Random Geometric Graphs (2003). He received the Friedrich Wilhelm Bessel Research Award from the Humboldt Foundation in 2008, and has held visiting positions as guest lecturer in New Delhi, Karlsruhe, San Diego, Birmingham, and Lille.

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