On Kernels and Covariance Structures in Hilbert Space Gaussian Processes

Fuente: arXiv
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Main Author: Sababe, Saeed Hashemi
Format: Preprint
Published: 2025
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author Sababe, Saeed Hashemi
author_facet Sababe, Saeed Hashemi
contents Motivated by practical applications, I present a novel and comprehensive framework for operator-valued positive definite kernels. This framework is applied to both operator theory and stochastic processes. The first application focuses on various dilation constructions within operator theory, while the second pertains to broad classes of stochastic processes. In this context, the authors utilize the results derived from operator-valued kernels to develop new Hilbert space-valued Gaussian processes and to investigate the structures of their covariance configurations.
format Preprint
id arxiv_https___arxiv_org_abs_2511_00142
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On Kernels and Covariance Structures in Hilbert Space Gaussian Processes
Sababe, Saeed Hashemi
Statistics Theory
Functional Analysis
Probability
46E22, 47A20, 47B32, 60G15
Motivated by practical applications, I present a novel and comprehensive framework for operator-valued positive definite kernels. This framework is applied to both operator theory and stochastic processes. The first application focuses on various dilation constructions within operator theory, while the second pertains to broad classes of stochastic processes. In this context, the authors utilize the results derived from operator-valued kernels to develop new Hilbert space-valued Gaussian processes and to investigate the structures of their covariance configurations.
title On Kernels and Covariance Structures in Hilbert Space Gaussian Processes
topic Statistics Theory
Functional Analysis
Probability
46E22, 47A20, 47B32, 60G15
url https://arxiv.org/abs/2511.00142