2 papers
math.ST2026
Noise-resilient penalty operators based on statistical differentiation schemes
Marc Vidal, Yves Rosseel
Penalized smoothing is a standard tool in regression analysis. Classical approaches often rely on basis or kernel expansions, which constrain the estimator to a fixed span and impo…
math.ST2025
Functional independent component analysis by choice of norm: a framework for near-perfect classification
Marc Vidal, Marc Leman, Ana M. Aguilera
We develop a theory for functional independent component analysis in an infinite-dimensional framework using Sobolev spaces that accommodate smoother functions. The notion of penal…