论文标题
有效模拟点过程的稀疏图
Efficient Simulation of Sparse Graphs of Point Processes
论文作者
论文摘要
我们为标记的时间点过程得出新的离散事件仿真算法。主要思想是将特殊的结构（即Didelez Arxiv：0710.5874定义的相关局部独立图）与活动跟踪算法[Muzy，2019]进行定义，以实现高性能异步模拟。关于经典算法，这可以大大降低计算复杂性，尤其是当图稀疏时。 [Muzy，2019] A. Muzy。 2019。用于层次（神经认知）系统中动力学和学习过程的建模和模拟活动的利用活动。 （提交给）科学与工程计算杂志（2019）
We derive new discrete event simulation algorithms for marked time point processes. The main idea is to couple a special structure, namely the associated local independence graph, as defined by Didelez arXiv:0710.5874, with the activity tracking algorithm [muzy, 2019] for achieving high performance asynchronous simulations. With respect to classical algorithm, this allows reducing drastically the computational complexity, especially when the graph is sparse. [muzy, 2019] A. Muzy. 2019. Exploiting activity for the modeling and simulation of dynamics and learning processes in hierarchical (neurocognitive) systems. (Submitted to) Magazine of Computing in Science & Engineering (2019)
