Zhu, Lingjiong Central limit theorem for nonlinear Hawkes processes. (English) Zbl 1306.60015 J. Appl. Probab. 50, No. 3, 760-771 (2013). A self-exciting point process \(N_t\) on \(\mathbb R\) is considered. It is a process for which \(E(N_{t+s} N_t | \mathcal F_t ) = E(\int^{s+t}_t\lambda_s ds | \mathcal F_t )\) is fair, where \(\lambda_s\) is some a priori given \(\mathcal F_s\)-measurable function, \((\mathcal F_t )\) is a natural filtration. The main object of investigation in this class is the Hawkes process, for which \(\lambda_t = f (\int^t_{-\infty} h(t-s) dN_s)\), where \(f\) is a locally integrable, continuous from the left function on \(\mathbb R_{+}\), and \(h\) is a positive function. It is known that the point process of Hawkes satisfies the central limit theorem if \(f\) is a linear function of its argument. In the present paper, the central limit theorem is proved for a stationary and ergodic Hawkes point process (linearity of \(f\) is not necessary). It is noted that the law of iterated logarithm of Strassen holds for a process from this class. Reviewer: B. P. Harlamov (St. Peterburg) Cited in 42 Documents MSC: 60F05 Central limit and other weak theorems 60G55 Point processes (e.g., Poisson, Cox, Hawkes processes) Keywords:self-exciting point process; Hawkes process; central limit theorem; Strassen’s invariance principle PDF BibTeX XML Cite \textit{L. Zhu}, J. Appl. Probab. 50, No. 3, 760--771 (2013; Zbl 1306.60015) Full Text: DOI arXiv Euclid OpenURL References: [1] Bacry, E., Delattre, S., Hoffmann, M. and Muzy, J. F. (2012). Scaling limits for Hawkes processes and application to financial statistics. Available at http://arxiv.org/abs/1202.0842v1. · Zbl 1292.60032 [2] Billingsley, P. (1999). Convergence of Probability Measures , 2nd edn. John Wiley, New York. · Zbl 0944.60003 [3] Bordenave, C. and Torrisi, G. L. (2007). Large deviations of Poisson cluster processes. Stoch. Models 23 , 593-625. · Zbl 1152.60316 [4] Brémaud, P. and Massoulié, L. (1996). Stability of nonlinear Hawkes processes. Ann. Prob. 24 , 1563-1588. · Zbl 0870.60043 [5] Brémaud, P., Nappo, G. and Torrisi, G. L. (2002). Rate of convergence to equilibrium of marked Hawkes processes. J. Appl. Prob. 39 , 123-136. · Zbl 1005.60062 [6] Daley, D. J. and Vere-Jones, D. (2003). An Introduction to the Theory of Point Processes , Vol. I, 2nd edn. Springer, New York. · Zbl 1026.60061 [7] Daley, D. J. and Vere-Jones, D. (2008). An Introduction to the Theory of Point Processes , Vol. II, 2nd edn. Springer, New York. · Zbl 1159.60003 [8] Dassios, A. and Zhao, H. (2011). A dynamic contagion process. Adv. Appl. Prob. 43 , 814-846. · Zbl 1230.60089 [9] Errais, E., Giesecke, K. and Goldberg, L. R. (2010). Affine point processes and portfolio credit risk. SIAM J. Financial Math. 1 , 642-665. · Zbl 1200.91296 [10] Hawkes, A. G. (1971). Spectra of some self-exciting and mutually exciting point processes. Biometrika 58 , 83-90. · Zbl 0219.60029 [11] Hawkes, A. G. and Oakes, D. (1974). A cluster process representation of a self-exciting process. J. Appl. Prob. 11 , 493-503. · Zbl 0305.60021 [12] Heyde, C. C. and Scott, D. J. (1973). Invariance principles for the law of the iterated logarithm for martingales and processes with stationary increments. Ann. Prob. 1 , 428-436. · Zbl 0259.60021 [13] Karabash, D. and Zhu, L. (2013). Limit theorems for marked Hawkes processes with application to a risk model. Available at http://arxiv.org/abs/1211.4039v2. · Zbl 1325.60025 [14] Liniger, T. (2009). Multivariate Hawkes Processes . Doctoral Thesis, ETH. [15] Zhu, L. (2012). Large deviations for Markovian nonlinear Hawkes Processes. Available at http://arxiv.org/ abs/1108.2432v2. · Zbl 1312.60019 [16] Zhu, L. (2013). Process-level large deviations for nonlinear Hawkes point processes. To appear in Ann. Inst. H. Poincaré Prob. Statist. This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.