| Spectral risk-based learning using unbounded losses MJ Holland, EM Haress International Conference on Artificial Intelligence and Statistics, 1871-1886, 2022 | 11 | 2022 |
| Learning with risk-averse feedback under potentially heavy tails M Holland, EM Haress International Conference on Artificial Intelligence and Statistics, 892-900, 2021 | 7* | 2021 |
| Estimation of all parameters in the fractional Ornstein–Uhlenbeck model under discrete observations EM Haress, Y Hu Statistical Inference for Stochastic Processes 24, 327-351, 2021 | 6 | 2021 |
| Numerical approximation of SDEs with fractional noise and distributional drift L Goudenège, EM Haress, A Richard arXiv preprint arXiv:2302.11455, 2023 | 2 | 2023 |
| Estimation of several parameters in discretely-observed Stochastic Differential Equations with additive fractional noise EM Haress, A Richard arXiv preprint arXiv:2306.16272, 2023 | | 2023 |
| Long time Hurst regularity of fractional SDEs and their ergodic means EM Haress, A Richard arXiv preprint arXiv:2206.06648, 2022 | | 2022 |
Matthew J. HollandOsaka UniversityVerified email at ar.sanken.osaka-u.ac.jp
