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Parameter estimation for growth interaction processes using spatio-temporal information

C. Redenbach ; Aila Särkkä (Institutionen för matematiska vetenskaper, matematisk statistik)
Computational Statistics & Data Analysis (0167-9473). Vol. 57 (2013), 1, p. 672-683.
[Artikel, refereegranskad vetenskaplig]

Methods for the parameter estimation for a spatio-temporal marked point process model, the so-called growth-interaction model, are investigated. Least squares estimation methods for this model found in the literature are only concerned with fitting the mark distribution observed in the data. These methods are unable to distinguish between models which have the same birth, death, interaction and growth functions and parameters but different arrival strategies for the points. Hence, they are extended such that the spatial structure of a point pattern is also taken into account. The suggested methods are evaluated in a simulation study and applied to a small data set from forestry.

Nyckelord: L-function, Least squares estimation, Logistic power-law function, Parameter estimation, Scots pines, point-processes, patterns

Denna post skapades 2012-12-13. Senast ändrad 2016-07-07.
CPL Pubid: 167633


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Institutioner (Chalmers)

Institutionen för matematiska vetenskaper, matematisk statistik (2005-2016)


Statistik, data- och systemvetenskap

Chalmers infrastruktur