26 citations · 31 across the 16 of their papers we have counts for
5 papers · 1 filter
Unsupervised anomaly detection in spatio-temporal stream network sensor data
Edgar Santos-Fernandez, Jay M. Ver Hoef, Erin E. Peterson +6
The use of in-situ digital sensors for water quality monitoring is becoming increasingly common worldwide. While these sensors provide near real-time data for science, the data are…
Bayesian spatiotemporal modelling of political violence and conflict events using discrete-time Hawkes processes
Raiha Browning, Hamish Patten, Judith Rousseau +1
The monitoring of conflict risk in the humanitarian sector is largely based on simple historic averages. The overarching goal of this work is to assess the potential for using a mo…
Proposer selection in EIP-7251
Sandra Johnson, Kerrie Mengersen, Patrick O'Callaghan +1
Immediate settlement, or single-slot finality (SSF), is a long-term goal for Ethereum. The growing active validator set size is placing an increasing computational burden on the ne…
Creating area level indices of behaviours impacting cancer in Australia with a Bayesian generalised shared component model
James Hogg, Susanna Cramb, Jessica Cameron +2
This study develops a model-based index creation approach called the Generalized Shared Component Model (GSCM) by drawing on the large field of factor models. The proposed fully Ba…
Spatial Non-parametric Bayesian Clustered Coefficients
Wala Draidi Areed, Aiden Price, Helen Thompson +2
In the field of population health research, understanding the similarities between geographical areas and quantifying their shared effects on health outcomes is crucial. In this pa…