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math.ST2026
Asymptotic e-processes
Pierre-François Massiani, Sebastian Schulze, Mattes Mollenhauer
We investigate the concept of an asymptotic e-process, which is a doubly-indexed stochastic process that possesses, asymptotically for an approximati…
math.ST2024
Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem
Mattes Mollenhauer, Nicole Mücke, T. J. Sullivan
We consider the problem of learning a linear operator between two Hilbert spaces from empirical observations, which we interpret as least squares regression in infinite dimens…