24 citations · 59 across the 13 of their papers we have counts for
4 papers · 1 filter
Random threshold for linear model selection, revisited
Merlin Keller, Marc Lavielle
In [Lavielle and Ludena 07], a random thresholding metho d is intro duced to select the significant, or non null, mean terms among a collection of independent random variables, and…
On the Role of Decision Theory in Uncertainty Analysis
Merlin Keller, Eric Parent, Alberto Pasanisi
Maximum likelihood estimation (MLE) and heuristic predictive estimation (HPE) are two widely used approaches in industrial uncertainty analysis. We review them from the point of vi…
ICA-based sparse feature recovery from fMRI datasets
Gaël Varoquaux, Merlin Keller, Jean Baptiste Poline +2
Spatial Independent Components Analysis (ICA) is increasingly used in the context of functional Magnetic Resonance Imaging (fMRI) to study cognition and brain pathologies. Salient…
Selection of a Model of Cerebral Activity for fMRI Group Data Analysis
Merlin Keller, Alexis Roche, Marc Lavielle
This thesis is dedicated to the statistical analysis of multi-sub ject fMRI data, with the purpose of identifying bain structures involved in certain cognitive or sensori-motor tas…