3 papers
math.PR2026
Minimal-Norm Extensions of Stationary Kernels on Subgroups of Locally Compact Abelian Groups and Gaussian Conditioning
Daniel Winkle
We study restrictions of stationary kernels on locally compact abelian groups to closed subgroups . For a nonnegative spectral density , we derive an explicit fibrew…
math.ST2025
Convergence Rates for Realizations of Gaussian Random Variables
Daniel Winkle, Ingo Steinwart, Bernard Haasdonk
This paper investigates the approximation of Gaussian random variables in Banach spaces, focusing on the high-probability bounds for the approximation of Gaussian random variables…
math.ST2025
Convergence Analysis of a Greedy Algorithm for Conditioning Gaussian Random Variables
Daniel Winkle, Ingo Steinwart, Bernard Haasdonk
In the context of Gaussian conditioning, greedy algorithms iteratively select the most informative measurements, given an observed Gaussian random variable. However, the convergenc…