33 citations · 37 across the 3 of their papers we have counts for
3 papers
On the estimation of the number of components in multivariate functional principal component analysis
Steven Golovkine, Edward Gunning, Andrew J. Simpkin +1
Happ and Greven (2018) developed a methodology for principal components analysis of multivariate functional data observed on different dimensional domains. Their approach relies on…
On the use of the Gram matrix for multivariate functional principal components analysis
Steven Golovkine, Edward Gunning, Andrew J. Simpkin +1
Dimension reduction is crucial in functional data analysis (FDA). The key tool to reduce the dimension of the data is functional principal component analysis. Existing approaches f…
Calibrating COVID-19 SEIR models with time-varying effective contact rates
James P. Gleeson, Thomas Brendan Murphy, Joseph D. O'Brien +3
We describe the population-based SEIR (susceptible, exposed, infected, removed) model developed by the Irish Epidemiological Modelling Advisory Group (IEMAG), which advises the Iri…