14 citations · 14 across the 2 of their papers we have counts for
2 papers
cs.SI2023
Identification of an influence network using ensemble-based filtering for Hawkes processes driven by count data
Santitissadeekorn N., Delahaies S., Lloyd D. J. B
Many networks have event-driven dynamics (such as communication, social media and criminal networks), where the mean rate of the events occurring at a node in the network changes a…
math.DS2023★ 14 cited
Combining Dynamic Mode Decomposition with Ensemble Kalman Filtering for Tracking and Forecasting
Stephen A Falconer, David J. B. Lloyd, Naratip Santitissadeekorn
Data assimilation techniques, such as ensemble Kalman filtering, have been shown to be a highly effective and efficient way to combine noisy data with a mathematical model to track…