### Abstract

Original language | English |
---|---|

Publisher | Cambridge University Press |

Number of pages | 313 |

ISBN (Print) | 978-1-107-08801-6 |

Publication status | Published - 21 Dec 2017 |

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### Cite this

*Lectures on the Poisson Process*. Cambridge University Press.

**Lectures on the Poisson Process.** / Last, Günter; Penrose, Mathew.

Research output: Book/Report › Book

*Lectures on the Poisson Process*. Cambridge University Press.

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TY - BOOK

T1 - Lectures on the Poisson Process

AU - Last, Günter

AU - Penrose, Mathew

PY - 2017/12/21

Y1 - 2017/12/21

N2 - 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 an 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.

AB - 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 an 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.

UR - http://www.math.kit.edu/stoch/~last/page/lectures_on_the_poisson_process/en

M3 - Book

SN - 978-1-107-08801-6

BT - Lectures on the Poisson Process

PB - Cambridge University Press

ER -