Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Cui, Lirong
and
Shen, Jingyuan
2021.
An extension of Hawkes processes with ephemeral nearest effects.
Stochastic Models,
Vol. 37,
Issue. 2,
p.
335.
Chen, Xuanqing
Dohi, Tadashi
and
Okamura, Hiroyuki
2021.
Investigating Trend/Cyclic/Clustering Decomposition in Software Fault Detection.
p.
343.
Privault, Nicolas
2021.
Recursive computation of the Hawkes cumulants.
Statistics & Probability Letters,
Vol. 177,
Issue. ,
p.
109161.
Privault, Nicolas
2022.
An Algorithm for the Computation of Joint Hawkes Moments with Exponential Kernel.
Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications,
Vol. 2022,
Issue. 0,
p.
72.
Cui, Lirong
Wu, Bei
and
Yin, Juan
2022.
Moments for Hawkes Processes with Gamma Decay Kernel Functions.
Methodology and Computing in Applied Probability,
Vol. 24,
Issue. 3,
p.
1565.
Privault, Nicolas
and
Thieullen, Michèle
2022.
Closed-form modeling of neuronal spike train statistics using multivariate Hawkes cumulants.
Physical Review E,
Vol. 106,
Issue. 5,
Brouste, Alexandre
and
Farinetto, Christian
2023.
Fast and asymptotically efficient estimation in the Hawkes processes.
Japanese Journal of Statistics and Data Science,
Vol. 6,
Issue. 1,
p.
361.
Schneider, Philipp J.
and
Weber, Thomas A.
2023.
Estimation of self-exciting point processes from time-censored data.
Physical Review E,
Vol. 108,
Issue. 1,
Cui, Lirong
Kang, Fengming
and
Shen, Jingyuan
2023.
Maintenance planning estimations and policies optimization for single-unit systems using Hawkes processes.
Quality Technology & Quantitative Management,
Vol. 20,
Issue. 2,
p.
211.
Daw, Andrew
and
Pender, Jamol
2023.
Matrix calculations for moments of Markov processes.
Advances in Applied Probability,
Vol. 55,
Issue. 1,
p.
126.
Han, Delong
Meng, Tao
and
Li, Min
2023.
Dynamic End-to-End Information Cascade Prediction Based on Neural Networks and Snapshot Capture.
Electronics,
Vol. 12,
Issue. 13,
p.
2875.
Hillairet, Caroline
Réveillac, Anthony
and
Rosenbaum, Mathieu
2023.
An expansion formula for Hawkes processes and application to cyber-insurance derivatives.
Stochastic Processes and their Applications,
Vol. 160,
Issue. ,
p.
89.
Lima, Rafael
2023.
Hawkes Processes Modeling, Inference, and Control: An Overview.
SIAM Review,
Vol. 65,
Issue. 2,
p.
331.
Baños, David
H. Sande, Å.
and
Sgarra, Carlo
2023.
Guaranteed Minimum Maturity Benefits in a Self-Exciting Stochastic Mortality Model: Pricing, Estimation and Calibration.
North American Actuarial Journal,
p.
1.
Hainaut, Donatien
Chen, Jing
and
Scalas, Enrico
2024.
The rough Hawkes process.
Communications in Statistics - Theory and Methods,
p.
1.
Lee, Kyungsub
2024.
Application of Hawkes Volatility in the Observation of Filtered High‐Frequency Price Process in Tick Structures.
Applied Stochastic Models in Business and Industry,
Mercuri, Lorenzo
Perchiazzo, Andrea
and
Rroji, Edit
2024.
A Hawkes model with CARMA(p,q) intensity.
Insurance: Mathematics and Economics,
Vol. 116,
Issue. ,
p.
1.
Foschi, Rachele
Lilla, Francesca
and
Mancini, Cecilia
2024.
Warnings About Future Jumps: Properties of the Exponential Hawkes Model.
SSRN Electronic Journal,
Ketelbuters, John-John
and
Hainaut, Donatien
2024.
A recursive method for fractional Hawkes intensities and the potential approach of credit risk.
Journal of Computational and Applied Mathematics,
Vol. 448,
Issue. ,
p.
115895.
Lee, Kyungsub
2024.
Multi-kernel property in high-frequency price dynamics under Hawkes model.
Studies in Nonlinear Dynamics & Econometrics,
Vol. 28,
Issue. 4,
p.
605.