5 citations · 6 across the 3 of their papers we have counts for
4 papers
anomaly : Detection of Anomalous Structure in Time Series Data
Alex Fisch, Daniel Grose, Idris A. Eckley +2
One of the contemporary challenges in anomaly detection is the ability to detect, and differentiate between, both point and collective anomalies within a data sequence or time seri…
Real Time Anomaly Detection And Categorisation
Alexander T. M. Fisch, Lawrence Bardwell, Idris A. Eckley
The ability to quickly and accurately detect anomalous structure within data sequences is an inference challenge of growing importance. This work extends recently proposed post-hoc…
Most recent changepoint detection in Panel data
Lawrence Bardwell, Idris Eckley, Paul Fearnhead +2
Detecting recent changepoints in time-series can be important for short-term prediction, as we can then base predictions just on the data since the changepoint. In many application…
Bayesian detection of abnormal segments in multiple time series
Lawrence Bardwell, Paul Fearnhead
We present a novel Bayesian approach to analysing multiple time-series with the aim of detecting abnormal regions. These are regions where the properties of the data change from so…