Non-parametric estimation of non-linear diffusion coefficient in parabolic SPDEs

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Main Authors: Andersson, Martin, Avelin, Benny, Garino, Valentin, Ilmonen, Pauliina, Viitasaari, Lauri
Format: Preprint
Published: 2025
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author Andersson, Martin
Avelin, Benny
Garino, Valentin
Ilmonen, Pauliina
Viitasaari, Lauri
author_facet Andersson, Martin
Avelin, Benny
Garino, Valentin
Ilmonen, Pauliina
Viitasaari, Lauri
contents In this article, we introduce a novel non-parametric predictor, based on conditional expectation, for the unknown diffusion coefficient function $σ$ in the stochastic partial differential equation $Lu = σ(u)\dot{W}$, where $L$ is a parabolic second order differential operator and $\dot{W}$ is a suitable Gaussian noise. We prove consistency and derive an upper bound for the error in the $L^p$ norm, in terms of discretization and smoothening parameters $h$ and $\varepsilon$. We illustrate the applicability of the approach and the role of the parameters with several interesting numerical examples.
format Preprint
id arxiv_https___arxiv_org_abs_2509_12921
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Non-parametric estimation of non-linear diffusion coefficient in parabolic SPDEs
Andersson, Martin
Avelin, Benny
Garino, Valentin
Ilmonen, Pauliina
Viitasaari, Lauri
Statistics Theory
62G05 (Primary), 60H15 (Secondary)
In this article, we introduce a novel non-parametric predictor, based on conditional expectation, for the unknown diffusion coefficient function $σ$ in the stochastic partial differential equation $Lu = σ(u)\dot{W}$, where $L$ is a parabolic second order differential operator and $\dot{W}$ is a suitable Gaussian noise. We prove consistency and derive an upper bound for the error in the $L^p$ norm, in terms of discretization and smoothening parameters $h$ and $\varepsilon$. We illustrate the applicability of the approach and the role of the parameters with several interesting numerical examples.
title Non-parametric estimation of non-linear diffusion coefficient in parabolic SPDEs
topic Statistics Theory
62G05 (Primary), 60H15 (Secondary)
url https://arxiv.org/abs/2509.12921