Nonparametric Diffusivity Estimation for the Stochastic Heat Equation from Noisy Observations

Fuente: arXiv
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Autores principales: Pasemann, Gregor, Reiß, Markus
Formato: Preprint
Publicado: 2024
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author Pasemann, Gregor
Reiß, Markus
author_facet Pasemann, Gregor
Reiß, Markus
contents We estimate nonparametrically the spatially varying diffusivity of a stochastic heat equation from observations perturbed by additional noise. To that end, we employ a two-step localization procedure, more precisely, we combine local state estimates into a locally linear regression approach. Our analysis relies on quantitative Trotter--Kato type approximation results for the heat semigroup that are of independent interest. The presence of observational noise leads to non-standard scaling behaviour of the model. Numerical simulations illustrate the results.
format Preprint
id arxiv_https___arxiv_org_abs_2410_00677
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Nonparametric Diffusivity Estimation for the Stochastic Heat Equation from Noisy Observations
Pasemann, Gregor
Reiß, Markus
Statistics Theory
60H15, 62G05, 62M30
We estimate nonparametrically the spatially varying diffusivity of a stochastic heat equation from observations perturbed by additional noise. To that end, we employ a two-step localization procedure, more precisely, we combine local state estimates into a locally linear regression approach. Our analysis relies on quantitative Trotter--Kato type approximation results for the heat semigroup that are of independent interest. The presence of observational noise leads to non-standard scaling behaviour of the model. Numerical simulations illustrate the results.
title Nonparametric Diffusivity Estimation for the Stochastic Heat Equation from Noisy Observations
topic Statistics Theory
60H15, 62G05, 62M30
url https://arxiv.org/abs/2410.00677