22 citations · 26 across the 5 of their papers we have counts for
3 papers · 1 filter
A communication-efficient, online changepoint detection method for monitoring distributed sensor networks
Ziyang Yang, Idris A. Eckley, Paul Fearnhead
We consider the challenge of efficiently detecting changes within a network of sensors, where we also need to minimise communication between sensors and the cloud. We propose an on…
Automatic Locally Stationary Time Series Forecasting with application to predicting U.K. Gross Value Added Time Series under sudden shocks caused by the COVID pandemic
Rebecca Killick, Marina I. Knight, Guy P. Nason +2
Accurate forecasting of the U.K. gross value added (GVA) is fundamental for measuring the growth of the U.K. economy. A common nonstationarity in GVA data, such as the ABML series,…
A computationally efficient, high-dimensional multiple changepoint procedure with application to global terrorism incidence
S. O. Tickle, I. A. Eckley, P. Fearnhead
Detecting changepoints in datasets with many variates is a data science challenge of increasing importance. Motivated by the problem of detecting changes in the incidence of terror…