covSTATIS: a multi-table technique for network neuroscience

1 code implementation • 21 Mar 2024 • Giulia Baracchini, Ju-Chi Yu, Jenny Rieck, Derek Beaton, Vincent Guillemot, Cheryl Grady, Herve Abdi, R. Nathan Spreng

Similarity analyses between multiple correlation or covariance tables constitute the cornerstone of network neuroscience.

A general multiblock method for structured variable selection

no code implementations • 29 Oct 2016 • Tommy Löfstedt, Fouad Hadj-Selem, Vincent Guillemot, Cathy Philippe, Nicolas Raymond, Edouard Duchesney, Vincent Frouin, Arthur Tenenhaus

However, for technical reasons, the variable selection offered by SGCCA was restricted to a covariance link between the blocks (i. e., with $\tau=1$).

Variable Selection

Continuation of Nesterov's Smoothing for Regression with Structured Sparsity in High-Dimensional Neuroimaging

no code implementations • 31 May 2016 • Fouad Hadj-Selem, Tommy Lofstedt, Elvis Dohmatob, Vincent Frouin, Mathieu Dubois, Vincent Guillemot, Edouard Duchesnay

Nesterov's smoothing technique can be used to minimize a large number of non-smooth convex structured penalties but reasonable precision requires a small smoothing parameter, which slows down the convergence speed.

regression