Stochastic Geometry: Percolation, Tesselations, Gaussian Fields and Point Processes
This volume covers a broad spectrum of topics in stochastic geometry, including percolation, tessellations, Gaussian fields and point processes. Based on lectures given at the Stochastic Geometry Days held by the Stochastic Geometry Research Group from 2019 to 2022, the book opens with an introducti...
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| Formatua: | Baliabide elektronikoa eBook |
| Hizkuntza: | ingelesa |
| Argitaratua: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
|
| Edizioa: | 1st ed. 2025. |
| Saila: | Lecture Notes in Mathematics,
2365 |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1007/978-3-031-87264-8 |
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| 245 | 1 | 0 | |a Stochastic Geometry: Percolation, Tesselations, Gaussian Fields and Point Processes |h [electronic resource] / |c edited by Hermine Biermé. |
| 250 | |a 1st ed. 2025. | ||
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| 490 | 1 | |a Lecture Notes in Mathematics, |x 1617-9692 ; |v 2365 | |
| 505 | 0 | |a - 1. An Introduction to Russo-Seymour-Welsh Theory -- 2. Random Tessellations - An Overview of Models -- 3. Gaussian Fields through Geometrical Properties -- 4. Complex Gaussian Zeros and Eigenvalues -- 5. Point Processes and Spatial Statistics in Time-Frequency Analysis. | |
| 520 | |a This volume covers a broad spectrum of topics in stochastic geometry, including percolation, tessellations, Gaussian fields and point processes. Based on lectures given at the Stochastic Geometry Days held by the Stochastic Geometry Research Group from 2019 to 2022, the book opens with an introduction to Russo–Seymour–Welsh theory for the study of percolation, before going on to explore random tessellations and their applications, the geometry of Gaussian random fields, and the zeros of analytic Gaussian fields. This discussion naturally leads to the concept of determinantal point processes, whose applications in signal processing are the focus of the final chapter. Providing a unique and accessible overview of active fields in stochastic geometry, their tools and models, this collection of lectures will encourage further research and applications. | ||
| 532 | 8 | |a Accessibility summary: This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility. It includes screen reader support, descriptions for Non-text content (such as images and graphs), bookmarks for easy navigation, keyboard-friendly links and forms, and searchable, selectable text. We recognise the importance of accessibility and welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us via https://www.springernature.com/gp/info/accessibility Please Note that a more accessible version of this eBook is available as an EPUB. | |
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| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
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| 650 | 0 | |a Stochastic processes. | |
| 650 | 0 | |a Statistical Mechanics. | |
| 650 | 1 | 4 | |a Stochastic Processes. |
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