Publication: On the orthogonality of zero-mean Gaussian measures: Sufficiently dense sampling
On the orthogonality of zero-mean Gaussian measures: Sufficiently dense sampling
Date
Date
Date
2024
Journal Article
Published version
Citations
Furrer, R., & Hediger, M. (2024). On the orthogonality of zero-mean Gaussian measures: Sufficiently dense sampling. Stochastic Processes and Their Applications, 173, 104356. https://doi.org/10.1016/j.spa.2024.104356
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Downloads
25 since deposited on 2024-05-22
23last week
Acq. date: 2025-11-12
Views
66 since deposited on 2024-05-22
65last week
Acq. date: 2025-11-12
Citations
Additional indexing
Creators (Authors)
- Hediger, Michael
Journal/Series Title
Journal/Series Title
Journal/Series Title
Volume
Volume
Volume
173
Page range/Item number
Page range/Item number
Page range/Item number
104356
Item Type
Item Type
Item Type
Journal Article
Keywords
MSC: 60G10, 60G15, 60G17, 60G30, 60G60
Keywords: Gaussian random fields, Stationarity, Isotropy, Equivalence of Gaussian measures, Orthogonality of Gaussian measures
Language
Language
Language
English
Publication date
Publication date
Publication date
2024-07-01
Date available
Date available
Date available
2024-05-22
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
0304-4149
Additional Information
Additional Information
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
OA Status
OA Status
Hybrid
Free Access at
Free Access at
Free Access at
DOI
Publisher DOI
Metrics
Downloads
25 since deposited on 2024-05-22
23last week
Acq. date: 2025-11-12
Views
66 since deposited on 2024-05-22
65last week
Acq. date: 2025-11-12
Citations
Citations
Furrer, R., & Hediger, M. (2024). On the orthogonality of zero-mean Gaussian measures: Sufficiently dense sampling. Stochastic Processes and Their Applications, 173, 104356. https://doi.org/10.1016/j.spa.2024.104356
Hybrid Open Access
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