2 citations · 2 across the 2 of their papers we have counts for
5 papers
Semi-automated simultaneous predictor selection for Regression-SARIMA models
Aaron Lowther, Paul Fearnhead, Matthew Nunes +1
Deciding which predictors to use plays an integral role in deriving statistical models in a wide range of applications. Motivated by the challenges of predicting events across a te…
Generalised Network Autoregressive Processes and the GNAR package
Marina Knight, Kathryn Leeming, Guy Nason +1
This article introduces the GNAR package, which fits, predicts, and simulates from a powerful new class of generalised network autoregressive processes. Such processes consist of a…
Interpretable brain age prediction using linear latent variable models of functional connectivity
Ricardo Pio Monti, Alex Gibberd, Sandipan Roy +6
Neuroimaging-driven prediction of brain age, defined as the predicted biological age of a subject using only brain imaging data, is an exciting avenue of research. In this work we…
Dynamic detection of anomalous regions within distributed acoustic sensing data streams using locally stationary wavelet time series
Rebecca E. Wilson, Idris A. Eckley, Matthew A. Nunes +1
Distributed acoustic sensing technology is increasingly being used to support production and well management within the oil and gas sector, for example to improve flow monitoring a…
Modelling, Detrending and Decorrelation of Network Time Series
M. I. Knight, M. A. Nunes, G. P. Nason
A network time series is a multivariate time series augmented by a graph that describes how variables (or nodes) are connected. We introduce the network autoregressive (integrated)…