309 citations
- Université Paris-SaclayFR12 papers
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- Unit of Neuroscience Information and ComplexityFR9 papers
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- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR3 papers
- CY Cergy Paris UniversitéFR2 papers
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stat.AP2024
Hidden Markov models with an unknown number of states and a repulsive prior on the state parameters
Ioannis Rotous, Alex Diana, Alessio Farcomeni +2
Hidden Markov models (HMMs) offer a robust and efficient framework for analyzing time series data, modelling both the underlying latent state progression over time and the observat…
stat.AP2010★ 186 cited
A group model for stable multi-subject ICA on fMRI datasets
G. Varoquaux, S. Sadaghiani, P. Pinel +3
Spatial Independent Component Analysis (ICA) is an increasingly used data-driven method to analyze functional Magnetic Resonance Imaging (fMRI) data. To date, it has been used to e…