Motivated by the subordinated Brownian motion, we define a new class of (in general discontinuous) random fields on higher-dimensional parameter domains: the subordinated Gaussian random field. We investigate the pointwise marginal distribution of the constructed random fields, derive a Lévy-Khinchin-type formula and semi-explicit formulas for the covariance function. Further, we study the pointwise stochastic regularity and present various numerical examples.
%0 Journal Article
%1 merkle2022distributional
%A Merkle, Robin
%A Barth, Andrea
%D 2022
%I Springer
%J Methodology and Computing in Applied Probability
%K EXC2075 PN5 PN5-4 curated
%P 2661-2688
%R 10.1007/s11009-022-09958-x
%T On Some Distributional Properties of Subordinated Gaussian Random Fields
%U https://doi.org/10.1007/s11009-022-09958-x
%V 24
%X Motivated by the subordinated Brownian motion, we define a new class of (in general discontinuous) random fields on higher-dimensional parameter domains: the subordinated Gaussian random field. We investigate the pointwise marginal distribution of the constructed random fields, derive a Lévy-Khinchin-type formula and semi-explicit formulas for the covariance function. Further, we study the pointwise stochastic regularity and present various numerical examples.
%@ 1387-5841 and 1573-7713
@article{merkle2022distributional,
abstract = {Motivated by the subordinated Brownian motion, we define a new class of (in general discontinuous) random fields on higher-dimensional parameter domains: the subordinated Gaussian random field. We investigate the pointwise marginal distribution of the constructed random fields, derive a Lévy-Khinchin-type formula and semi-explicit formulas for the covariance function. Further, we study the pointwise stochastic regularity and present various numerical examples.},
added-at = {2023-12-01T18:20:01.000+0100},
author = {Merkle, Robin and Barth, Andrea},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/22e2d5d261a7bd5b2ad18e8977b8b16f7/simtech},
doi = {10.1007/s11009-022-09958-x},
interhash = {dd7413d4a93de0824ffc9b62243b031f},
intrahash = {2e2d5d261a7bd5b2ad18e8977b8b16f7},
isbn = {{1387-5841} and {1573-7713}},
journal = {Methodology and Computing in Applied Probability},
keywords = {EXC2075 PN5 PN5-4 curated},
language = {eng},
pages = {2661-2688},
publisher = {Springer},
pubstate = {prepublished},
timestamp = {2023-12-06T08:55:18.000+0100},
title = {On Some Distributional Properties of Subordinated Gaussian Random Fields},
url = {https://doi.org/10.1007/s11009-022-09958-x},
volume = 24,
year = 2022
}