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.
Additional indexing
| Item Type: | Journal Article, refereed, original work |
|---|---|
| Communities & Collections: | 07 Faculty of Science > Institute of Mathematics
07 Faculty of Science > Department of Astrophysics 07 Faculty of Science > Department of Mathematical Modeling and Machine Learning |
| 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: | 29 Apr 2025 01:37 |
| 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: |
|
Permanent URL
https://doi.org/10.5167/uzh-259707
Download
Preview
- Content: Published Version
- Language: English
- Licence:
Links
Statistics
Citations
Dimensions.ai Metrics
Furrer, Reinhard