标题： 稀疏稳定点过程作为空间突发性模型 显示英文标题

标题： Thinning-Stable Point Processes as a Model for Spatial Burstiness

摘要： 在现代电信中，数据流量的空间突发性对传统的泊松模型提出了挑战。本文描述了稀疏稳定点过程的应用，这些过程为建模突发性空间数据提供了更合适的框架。我们讨论了它们的性质、表示方法、推断方法和应用，展示了相对于经典方法的优势。 显示英文摘要

摘要： 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.