Monte Carlo guided Diffusion for Bayesian linear inverse problems
By Sylvain Le Corff
Optimal revelated utilities and convex pricing kernels:a forward point of view of convexity propagation
By Nicole El Karoui
Appears in collection : 2023 - T1B - Random processes in the brain: from experimental data to math and back
During these lessons we present the main clustering techniques for multivariate and functional data. We also tackle the problem of clustering validation. Moreover, we end up by introducing a new clustering procedure design to cluster sets of functional data by the law that generated them.