30 citations · 43 across the 4 of their papers we have counts for
4 papers
Large multi-response linear regression estimation based on low-rank pre-smoothing
Xinle Tian, Alex Gibberd, Matthew Nunes +1
Pre-smoothing is a technique aimed at increasing the signal-to-noise ratio in data to improve subsequent estimation and model selection in regression problems. However, pre-smoothi…
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…
Hedging parameter selection for basis pursuit
Stephane Chretien, Alex Gibberd, Sandipan Roy
In Compressed Sensing and high dimensional estimation, signal recovery often relies on sparsity assumptions and estimation is performed via -penalized least-squares optimiz…
Multiple Changepoint Estimation in High-Dimensional Gaussian Graphical Models
Alex J. Gibberd, Sandipan Roy
We consider the consistency properties of a regularised estimator for the simultaneous identification of both changepoints and graphical dependency structure in multivariate time-s…