15 citations · 15 across the 2 of their papers we have counts for
2 papers
stat.CO2022★ 15 cited
Approximation of bayesian Hawkes process models with Inlabru
Francesco Serafini, Finn Lindgren, Mark Naylor
Hawkes process are very popular mathematical tools for modelling phenomena exhibiting a \textit{self-exciting} or \textit{self-correcting} behaviour. Typical examples are earthquak…
stat.AP2021
Ranking earthquake forecasts using proper scoring rules: Binary events in a low probability environment
Francesco Serafini, Mark Naylor, Finn Lindgren +2
Operational earthquake forecasting for risk management and communication during seismic sequences depends on our ability to select an optimal forecasting model. To do this, we need…