3 papers
math.ST2025
Error Bounds for a Kernel-Based Constrained Optimal Smoothing Approximation
Laurence Grammont, François Bachoc, Andrés F. López-Lopera
This paper establishes error bounds for the convergence of a piecewise linear approximation of the constrained optimal smoothing problem posed in a reproducing kernel Hilbert space…
stat.AP2025
Gaussian Process-driven Hidden Markov Models for Early Diagnosis of Infant Gait Anomalies
Luis Torres-Torres F., Jonatan Arias-GarcÃa, Hernán F. GarcÃa +2
Gait analysis is critical in the early detection and intervention of motor neurological disorders in infants. Despite its importance, traditional methods often struggle to model th…
stat.ME2025
Block-Additive Gaussian Processes under Monotonicity Constraints
M. Deronzier, A. F. López-Lopera, F. Bachoc +2
We generalize the additive constrained Gaussian process framework to handle interactions between input variables while enforcing monotonicity constraints everywhere on the input sp…