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math.PR2026

Lower path regularity in all dimensions

Michael Hinz, Jonas M. Tölle, Lauri Viitasaari

We prove precise almost sure lower path regularity results for a wide class of stochastic processes in all space dimensions . Examples include Gaussian processes, in parti…

math.PR2026

Error analysis for learning fractional stochastic differential equations with applications in neural approximations

Mahdi Dehshiri, Kerlyns Martinez, Lauri Viitasaari

This paper develops a framework for the error analysis in nonparametric model fitting of fractional stochastic differential equations based on discrete observations. We identify an…

math.PR2026

Smoothness of martingale observables and generalized Feynman-Kac formulas

Alex Karrila, Lauri Viitasaari

We prove that, under the Hörmander criterion on an Itô process, all its martingale observables are smooth. As a consequence, we also obtain a generalized Feynman-Kac formula prov…

math.PR2026

Characterization of continuous stationary fields as generalized Ornstein-Uhlenbeck fields via multi-parameter Langevin equation and multiple Riemann-Stieltjes integration

Marko Voutilainen, Pauliina Ilmonen, Lauri Viitasaari

In this article, we characterize continuous stationary fields via generalized Langevin dynamics. This gives natural connections between stationary fields, stationary increment fiel…

math.PR2025

On fractal minimizers and potentials of occupation measures

Michael Hinz, Jonas M. Tölle, Lauri Viitasaari

We consider four prototypes of variational problems and prove the existence of fractal minimizers through the direct method in the calculus of variations. By design these minimizer…

math.PR2025

1D stochastic pressure equation with log-correlated Gaussian coefficients

Benny Avelin, Tuomo Kuusi, Patrik Nummi +3

We study unique solvability for one dimensional stochastic pressure equation with diffusion coefficient given by the Wick exponential of log-correlated Gaussian fields. We prove we…