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Mechanistic Spatio-...
Mechanistic Spatio-Temporal Point Process Models for Marked Point Processes, with a View to Forest Stand Data
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- Møller, Jesper (författare)
- Department of Mathematical Sciences, Aalborg University, Aalborg, Denmark Denmark
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- Ghorbani, Mohammad (författare)
- Department of Mathematical Sciences, Aalborg University, Aalborg, Denmark
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- Rubak, Ege (författare)
- Department of Mathematical Sciences, Aalborg University, Aalborg, Denmark
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(creator_code:org_t)
- 2015-12-21
- 2016
- Engelska.
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Ingår i: Biometrics. - : John Wiley & Sons. - 0006-341X .- 1541-0420. ; 217:3, s. 687-696
- Relaterad länk:
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http://vbn.aau.dk/ws...
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visa fler...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- We show how a spatial point process, where to each point there is associated a random quantitative mark, can be identified with a spatio‐temporal point process specified by a conditional intensity function. For instance, the points can be tree locations, the marks can express the size of trees, and the conditional intensity function can describe the distribution of a tree (i.e., its location and size) conditionally on the larger trees. This enable us to construct parametric statistical models which are easily interpretable and where maximum‐likelihood‐based inference is tractable.
Ämnesord
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
- LANTBRUKSVETENSKAPER -- Lantbruksvetenskap, skogsbruk och fiske -- Skogsvetenskap (hsv//swe)
- AGRICULTURAL SCIENCES -- Agriculture, Forestry and Fisheries -- Forest Science (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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