Hilbert space valued Gaussian processes, their kernels, factorizations, and covariance structure

Fuente: arXiv
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Autori principali: Jorgensen, Palle E. T., Tian, James
Natura: Preprint
Pubblicazione: 2024
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author Jorgensen, Palle E. T.
Tian, James
author_facet Jorgensen, Palle E. T.
Tian, James
contents Motivated by applications, we introduce a general and new framework for operator valued positive definite kernels. We further give applications both to operator theory and to stochastic processes. The first one yields several dilation constructions in operator theory, and the second to general classes of stochastic processes. For the latter, we apply our operator valued kernel-results in order to build new Hilbert space-valued Gaussian processes, and to analyze their structures of covariance configurations.
format Preprint
id arxiv_https___arxiv_org_abs_2404_14685
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Hilbert space valued Gaussian processes, their kernels, factorizations, and covariance structure
Jorgensen, Palle E. T.
Tian, James
Functional Analysis
Primary: 46E22. Secondary: 47A20, 47B32, 60G15
Motivated by applications, we introduce a general and new framework for operator valued positive definite kernels. We further give applications both to operator theory and to stochastic processes. The first one yields several dilation constructions in operator theory, and the second to general classes of stochastic processes. For the latter, we apply our operator valued kernel-results in order to build new Hilbert space-valued Gaussian processes, and to analyze their structures of covariance configurations.
title Hilbert space valued Gaussian processes, their kernels, factorizations, and covariance structure
topic Functional Analysis
Primary: 46E22. Secondary: 47A20, 47B32, 60G15
url https://arxiv.org/abs/2404.14685