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2020 – today
- 2024
[j3]Katerina Hlavácková-Schindler, Anna Melnykova, Irene Tubikanec:
Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length. J. Mach. Learn. Res. 25: 133:1-133:26 (2024)- 2023
- [i5]Susanne Ditlevsen, Massimiliano Tamborrino, Irene Tubikanec:
Network inference in a stochastic multi-population neural mass model via approximate Bayesian computation. CoRR abs/2306.15787 (2023) - [i4]Katerina Hlavácková-Schindler, Anna Melnykova
, Irene Tubikanec:
Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length. CoRR abs/2309.02027 (2023) - 2022
- [j2]Irene Tubikanec, Massimiliano Tamborrino, Petr Lánský, Evelyn Buckwar:
Qualitative properties of different numerical methods for the inhomogeneous geometric Brownian motion. J. Comput. Appl. Math. 406: 113951 (2022) - 2021
- [i3]Evelyn Buckwar, Adeline Samson, Massimiliano Tamborrino, Irene Tubikanec:
Splitting methods for SDEs with locally Lipschitz drift. An illustration on the FitzHugh-Nagumo model. CoRR abs/2101.01027 (2021) - 2020
- [j1]Evelyn Buckwar, Massimiliano Tamborrino, Irene Tubikanec:
Spectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs. Stat. Comput. 30(3): 627-648 (2020) - [i2]Irene Tubikanec, Massimiliano Tamborrino, Petr Lánský, Evelyn Buckwar:
Qualitative properties of numerical methods for the inhomogeneous geometric Brownian motion. CoRR abs/2003.10193 (2020) - [i1]Julien Chevallier, Anna Melnykova, Irene Tubikanec:
Theoretical analysis and simulation methods for Hawkes processes and their diffusion approximation. CoRR abs/2003.10710 (2020)
Coauthor Index
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