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On the orthogonality of zero-mean Gaussian measures: Sufficiently dense sampling


Furrer, Reinhard; Hediger, Michael (2024). On the orthogonality of zero-mean Gaussian measures: Sufficiently dense sampling. Stochastic Processes and their Applications, 173:104356.

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Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Mathematics
07 Faculty of Science > Institute for Computational Science
Dewey Decimal Classification:510 Mathematics
Scopus Subject Areas:Physical Sciences > Statistics and Probability
Physical Sciences > Modeling and Simulation
Physical Sciences > Applied Mathematics
Uncontrolled Keywords:MSC: 60G10, 60G15, 60G17, 60G30, 60G60 Keywords: Gaussian random fields, Stationarity, Isotropy, Equivalence of Gaussian measures, Orthogonality of Gaussian measures
Language:English
Date:1 July 2024
Deposited On:22 May 2024 15:28
Last Modified:30 Jun 2024 01:41
Publisher:Elsevier
ISSN:0304-4149
Additional Information:The authors are grateful to Thomas Lehéricy for several helpful discussions. This work was supported by the Swiss National Science Foundation SNSF-175529.
OA Status:Hybrid
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1016/j.spa.2024.104356
Project Information:
  • : FunderSwiss National Science Foundation
  • : Grant IDSNSF-175529.
  • : Project Title
  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)