180 citations · 687 across the 34 of their papers we have counts for
4 papers · 1 filter
A Spatial Modeling Approach for Linguistic Object Data: Analysing dialect sound variations across Great Britain
Shahin Tavakoli, Davide Pigoli, John A. D. Aston +1
Dialect variation is of considerable interest in linguistics and other social sciences. However, traditionally it has been studied using proxies (transcriptions) rather than acoust…
Stable and predictive functional domain selection with application to brain images
Ah Yeon Park, John A. D. Aston, Frederic Ferraty
Motivated by increasing trends of relating brain images to a clinical outcome of interest, we propose a functional domain selection (FuDoS) method that effectively selects subregio…
Inference on covariance operators via concentration inequalities: k-sample tests, classification, and clustering via Rademacher complexities
Adam B. Kashlak, John A. D. Aston, Richard Nickl
We propose a novel approach to the analysis of covariance operators making use of concentration inequalities. First, non-asymptotic confidence sets are constructed for such operato…
Smooth Principal Component Analysis over two-dimensional manifolds with an application to Neuroimaging
Eardi Lila, John A. D. Aston, Laura M. Sangalli
Motivated by the analysis of high-dimensional neuroimaging signals located over the cortical surface, we introduce a novel Principal Component Analysis technique that can handle fu…