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| Main Author: | |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.00717 |
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| _version_ | 1866918014207655936 |
|---|---|
| author | Zuyev, Sergei |
| author_facet | Zuyev, Sergei |
| contents | In modern telecommunications, spatial burstiness of data traffic
poses challenges to traditional Poisson-based models. This paper
describes application of thinning-stable point processes,
which provide a more appropriate framework for modeling bursty
spatial data. We discuss their properties, representation, inference
methods, and applications, demonstrating the advantages over
classical approaches. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_00717 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Thinning-Stable Point Processes as a Model for Spatial Burstiness Zuyev, Sergei Applications Probability In modern telecommunications, spatial burstiness of data traffic poses challenges to traditional Poisson-based models. This paper describes application of thinning-stable point processes, which provide a more appropriate framework for modeling bursty spatial data. We discuss their properties, representation, inference methods, and applications, demonstrating the advantages over classical approaches. |
| title | Thinning-Stable Point Processes as a Model for Spatial Burstiness |
| topic | Applications Probability |
| url | https://arxiv.org/abs/2505.00717 |