10 citations · 11 across the 2 of their papers we have counts for
2 papers
stat.ME2019★ 1 cited
Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects
Igor Koval, Stéphanie Allassonnière, Stanley Durrleman
The ability to predict the progression of biomarkers, notably in NDD, is limited by the size of the longitudinal data sets, in terms of number of patients, number of visits per pat…
stat.ML2017★ 10 cited
Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks
Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier +4
We introduce a mixed-effects model to learn spatiotempo-ral patterns on a network by considering longitudinal measures distributed on a fixed graph. The data come from repeated obs…