Mechanistic spatio-temporal point process models for marked point processes, with a view to forest stand data

Jesper Møller, Mohammad Ghorbani, Ege Holger Rubak

Research output: Book/ReportReportResearch

514 Downloads (Pure)
Original languageEnglish
PublisherDepartment of Mathematical Sciences, Aalborg University
Number of pages16
Publication statusPublished - Aug 2014
SeriesResearch Report Series
NumberR-2014-07
ISSN1399-2503

Cite this

Møller, J., Ghorbani, M., & Rubak, E. H. (2014). Mechanistic spatio-temporal point process models for marked point processes, with a view to forest stand data. Department of Mathematical Sciences, Aalborg University. Research Report Series, No. R-2014-07
Møller, Jesper ; Ghorbani, Mohammad ; Rubak, Ege Holger. / Mechanistic spatio-temporal point process models for marked point processes, with a view to forest stand data. Department of Mathematical Sciences, Aalborg University, 2014. 16 p. (Research Report Series; No. R-2014-07).
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Møller, J, Ghorbani, M & Rubak, EH 2014, Mechanistic spatio-temporal point process models for marked point processes, with a view to forest stand data. Research Report Series, no. R-2014-07, Department of Mathematical Sciences, Aalborg University.

Mechanistic spatio-temporal point process models for marked point processes, with a view to forest stand data. / Møller, Jesper; Ghorbani, Mohammad; Rubak, Ege Holger.

Department of Mathematical Sciences, Aalborg University, 2014. 16 p. (Research Report Series; No. R-2014-07).

Research output: Book/ReportReportResearch

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T1 - Mechanistic spatio-temporal point process models for marked point processes, with a view to forest stand data

AU - Møller, Jesper

AU - Ghorbani, Mohammad

AU - Rubak, Ege Holger

PY - 2014/8

Y1 - 2014/8

M3 - Report

BT - Mechanistic spatio-temporal point process models for marked point processes, with a view to forest stand data

PB - Department of Mathematical Sciences, Aalborg University

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Møller J, Ghorbani M, Rubak EH. Mechanistic spatio-temporal point process models for marked point processes, with a view to forest stand data. Department of Mathematical Sciences, Aalborg University, 2014. 16 p. (Research Report Series; No. R-2014-07).