arXiv · 1204.1067
Central Limit Theorem for Nonlinear Hawkes Processes
Abstract
Hawkes process is a self-exciting point process with clustering effect whose intensity depends on its entire past history. It has wide applications in neuroscience, finance and many other fields. In this paper, we obtain a functional central limit theorem for nonlinear Hawkes process. Under the same assumptions, we also obtain a Strassen's invariance principle, i.e. a functional law of the iterated logarithm.
Explore related subjects
Keep this discovery
Lingjiong Zhu. 2014-10-14. Central Limit Theorem for Nonlinear Hawkes Processes. https://arxiv.org/abs/1204.1067
Cite the original work for its findings. Save a collection to share your selection of sources.