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Spatio-temporal determinantal point processes
Department of Computer and Statistics Sciences, Faculty of Sciences, University of Mohaghegh Ardabili, Ardabil, Iran.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Mathematical Science.ORCID iD: 0000-0003-0855-0288
Department of Computer and Statistics Sciences, Faculty of Sciences, University of Mohaghegh Ardabili, Ardabil, Iran.
Natural Resources Institute Finland (Luke), Helsinki, Finland.
(English)Manuscript (preprint) (Other academic)
Abstract [en]

Determinantal point processes are models for regular spatial point patterns, with appealingprobabilistic properties. We present their spatio-temporal counterparts and give examples ofthese models, based on spatio-temporal covariance functions which are separable and non-separablein space and time.

Keywords [en]
Covariance function, point process, regularity, spatio-temporal, spectral density
National Category
Probability Theory and Statistics
Research subject
Applied Mathematics
Identifiers
URN: urn:nbn:se:ltu:diva-95459DOI: 10.48550/arXiv.2301.02353OAI: oai:DiVA.org:ltu-95459DiVA, id: diva2:1732722
Funder
The Kempe Foundations, JCSMK22-0134
Note

Funder: Academy of Finland (295100 and 327211)

Available from: 2023-01-31 Created: 2023-01-31 Last updated: 2023-01-31Bibliographically approved

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Ghorbani, Mohammad

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