| 000 | 02414nam a22003858i 4500 | ||
|---|---|---|---|
| 001 | CR9781316104477 | ||
| 003 | UkCbUP | ||
| 005 | 20200124160209.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 140520s2018||||enk o ||1 0|eng|d | ||
| 020 | _a9781316104477 (ebook) | ||
| 020 | _z9781107088016 (hardback) | ||
| 020 | _z9781107458437 (paperback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
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| 050 | 0 | 0 |
_aQA274.42 _b.L36 2018 |
| 082 | 0 | 0 |
_a519.2/4 _223 |
| 100 | 1 |
_aLast, Günter, _eauthor. |
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| 245 | 1 | 0 |
_aLectures on the Poisson Process / _cGünter Last, Mathew Penrose. |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2018. |
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| 300 |
_a1 online resource (xx, 293 pages) : _bdigital, PDF file(s). |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 490 | 0 |
_aInstitute of Mathematical Statistics textbooks ; _v7 |
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| 500 | _aTitle from publisher's bibliographic system (viewed on 10 Nov 2017). | ||
| 520 | _aThe 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. | ||
| 650 | 0 | _aPoisson processes. | |
| 650 | 0 | _aStochastic processes. | |
| 650 | 0 | _aProbabilities. | |
| 700 | 1 |
_aPenrose, Mathew, _eauthor. |
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| 776 | 0 | 8 |
_iPrint version: _z9781107088016 |
| 830 | 0 |
_aInstitute of Mathematical Statistics textbooks ; _v7. |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1017/9781316104477 |
| 999 |
_c515604 _d515602 |
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