| Approximation of Bayesian Hawkes process with inlabru F Serafini, F Lindgren, M Naylor Environmetrics 34 (5), e2798, 2023 | 16 | 2023 |
| Ranking earthquake forecasts using proper scoring rules: binary events in a low probability environment F Serafini, M Naylor, F Lindgren, MJ Werner, I Main Geophysical Journal International 230 (2), 1419-1440, 2022 | 14 | 2022 |
| Bayesian modeling of the temporal evolution of seismicity using the ETAS.inlabru package M Naylor, F Serafini, F Lindgren, IG Main Frontiers in Applied Mathematics and Statistics 9, 1126759, 2023 | 6 | 2023 |
| RISE deliverable 6.1: Integration of RISE Innovations in the Fields of OELF, RLA and SHM C Nievas, C Crowley, Y Reuland, G Weatherill, G Baltzopoulos, K Bayliss, ... | 2 | 2023 |
| Multinomial logit models with INLA F Serafini | 2 | 2019 |
| New features in the pyCSEP toolkit for earthquake forecast development and evaluation KM Graham, JA Bayona, AM Khawaja, P Iturrieta, F Serafini, E Biondini, ... Seismological Research Letters 95 (6), 3449-3463, 2024 | 1 | 2024 |
| Bayesian modelling of the temporal evolution of seismicity using the ETAS. inlabru R-package M Naylor, F Serafini, F Lindgren, I Main arXiv preprint arXiv:2212.06077, 2022 | 1 | 2022 |
| Loss-based prior for tree topologies in BART models F Serafini, F Leisen, C Villa, K Wilson arXiv preprint arXiv:2404.00359, 2024 | | 2024 |
| Modelling seismicity as a spatio-temporal point process using inlabru F Serafini The University of Edinburgh, 2023 | | 2023 |
| Exploration of state-dependent rapid loss assessment and event-based operational earthquake loss forecasting incorporating structural health monitoring: an open-source tool C Nievas, H Crowley, Y Reuland, G Weatherill, G Baltzopoulos, K Bayliss, ... SECED 2023 Conference: Earthquake Engineering & Dynamics for a Sustainable …, 2023 | | 2023 |
| Integration of RISE innovations in the fields of OELF, RLA and SHM: input and output datasets (Version 1.0) C Nievas, H Crowley, Y Reuland, G Weatherill, K Bayliss, E Chatzi, ... Zenodo, 2023 | | 2023 |
| Ranking earthquake forecasts: On the use of proper scoring rules to discriminate forecasts F Serafini, M Naylor, F Lindgren, M Werner EGU General Assembly Conference Abstracts, EGU21-7418, 2021 | | 2021 |
| Modelling Seismicity in California as a Spatio-Temporal Point Process Using inlabru: Insights for Earthquake Forecasting M Naylor, K Bayliss, F Lindgren, F Serafini, I Main EGU General Assembly Conference Abstracts, 8814, 2020 | | 2020 |
Mark NaylorSchool of GeoSciences, University of EdinburghAdresse e-mail validée de ed.ac.uk