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Tom Stindl
Tom Stindl
Lecturer, School of Mathematics and Statistics, UNSW Sydney
Verified email at unsw.edu.au - Homepage
Title
Cited by
Cited by
Year
Direct likelihood evaluation for the renewal Hawkes process
F Chen, T Stindl
Journal of Computational and Graphical Statistics 27 (1), 119-131, 2018
272018
Modeling extreme negative returns using marked renewal Hawkes processes
T Stindl, F Chen
Extremes 22 (4), 705-728, 2019
132019
Likelihood based inference for the multivariate renewal Hawkes process
T Stindl, F Chen
Computational Statistics & Data Analysis 123, 131-145, 2018
102018
Accelerating the estimation of renewal Hawkes self-exciting point processes
T Stindl, F Chen
Statistics and Computing 31 (3), 26, 2021
82021
Spatiotemporal ETAS model with a renewal main-shock arrival process
T Stindl, F Chen
Journal of the Royal Statistical Society Series C: Applied Statistics 71 (5 …, 2022
52022
Stochastic declustering of earthquakes with the spatiotemporal renewal ETAS model
T Stindl, F Chen
The Annals of Applied Statistics 17 (4), 3173-3194, 2023
22023
EM algorithm for the estimation of the RETAS model
T Stindl, F Chen
Journal of Computational and Graphical Statistics, 1-11, 2023
22023
Forecasting intraday market risk: A marked self-exciting point process with exogenous renewals
T Stindl
Journal of Empirical Finance 70, 182-198, 2023
12023
Estimating the Hawkes process from a discretely observed sample path
F Chen, J Kwan, T Stindl
arXiv preprint arXiv:2401.11075, 2024
2024
Statistical inference for renewal Hawkes self-exciting point processes
T Stindl
UNSW Sydney, 2019
2019
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