Thinning-Stable Point Processes as a Model for Spatial Burstiness

Published 17 Apr 2025 in stat.AP and math.PR | (2505.00717v3)

Abstract: 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.

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Sergei Zuyev

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