| A splitting method for SDEs with locally Lipschitz drift: Illustration on the FitzHugh-Nagumo model E Buckwar, A Samson, M Tamborrino, I Tubikanec Applied Numerical Mathematics 179, 191-220, 2022 | 39 | 2022 |
| Spectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs E Buckwar, M Tamborrino, I Tubikanec Statistics and Computing 30 (3), 627-648, 2020 | 34 | 2020 |
| Qualitative properties of different numerical methods for the inhomogeneous geometric Brownian motion I Tubikanec, M Tamborrino, P Lansky, E Buckwar Journal of Computational and Applied Mathematics 406, 113951, 2022 | 17 | 2022 |
| Diffusion approximation of multi-class Hawkes processes: Theoretical and numerical analysis J Chevallier, A Melnykova, I Tubikanec Advances in Applied Probability 53 (3), 716-756, 2021 | 6 | 2021 |
| Theoretical analysis and simulation methods for Hawkes processes and their diffusion approximation J Chevallier, A Melnykova, I Tubikanec arXiv preprint arXiv:2003.10710, 2020 | 6 | 2020 |
| Qualitative properties of numerical methods for the inhomogeneous geometric Brownian motion I Tubikanec, M Tamborrino, P Lansky, E Buckwar arXiv preprint arXiv:2003.10193, 2020 | 6 | 2020 |
| Network inference in a stochastic multi-population neural mass model via approximate Bayesian computation S Ditlevsen, M Tamborrino, I Tubikanec arXiv preprint arXiv:2306.15787, 2023 | 3 | 2023 |
| Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length K Hlaváčková-Schindler, A Melnykova, I Tubikanec Journal of Machine Learning Research 25 (133), 1-26, 2024 | 1 | 2024 |
| Inference for the stochastic FitzHugh-Nagumo model from real action potential data via approximate Bayesian computation A Samson, M Tamborrino, I Tubikanec Computational Statistics & Data Analysis 204, 108095, 2025 | | 2025 |
| Structure preserving numerical and statistical methods for stochastic differential equations with a focus on neuronal models/eingereicht von DIⁱⁿ Irene Tubikanec I Tubikanec | | 2021 |
| Spectral Density-Based and Measure-Preserving ABC for partially observed diffusion processes E Buckwar, M Tamborrino, I Tubikanec arXiv preprint arXiv:1903.01138, 2019 | | 2019 |
| Stochastic Oscillations Motivated by the Noisy and Rhythmic Firing Activity of Neurons/submitted by Irene Tubikanec I Tubikanec | | 2017 |
Massimiliano TamborrinoReader (Associate Professor), Department of Statistics, University of WarwickVerified email at warwick.ac.uk