408 citations · 426 across the 4 of their papers we have counts for
7 papers
Bayesian Estimation of the ETAS Model for Earthquake Occurrences
Gordon J Ross
The Epidemic Type Aftershock Sequence (ETAS) model is one of the most widely-used approaches to seismic forecasting. However most studies of ETAS use point estimates for the model…
Semiparametric Bayesian Forecasting of Spatial Earthquake Occurrences
Aleksandar A. Kolev, Gordon J. Ross
Self-exciting Hawkes processes are used to model events which cluster in time and space, and have been widely studied in seismology under the name of the Epidemic Type Aftershock S…
Bayesian hierarchical modelling of sparse count processes in retail analytics
James Pitkin, Ioanna Manolopoulou, Gordon Ross
The field of retail analytics has been transformed by the availability of rich data which can be used to perform tasks such as demand forecasting and inventory management. However,…
Dirichlet Process Mixtures of Order Statistics with Applications to Retail Analytics
James Pitkin, Gordon Ross, Ioanna Manolopoulou
The rise of "big data" has led to the frequent need to process and store datasets containing large numbers of high dimensional observations. Due to storage restrictions, these obse…
Dynamic Multi-Factor Clustering of Financial Networks
Gordon J. Ross
We investigate the tendency for financial instruments to form clusters when there are multiple factors influencing the correlation structure. Specifically, we consider a stock port…
Understanding the Heavy Tailed Dynamics in Human Behavior
Gordon J Ross, Tim Jones
The recent availability of electronic datasets containing large volumes of communication data has made it possible to study human behavior on a larger scale than ever before. From…