CPL - Chalmers Publication Library
| Utbildning | Forskning | Styrkeområden | Om Chalmers | In English In English Ej inloggad.

Some edge correction methods for marked spatio-temporal point process models

Ottmar Cronie (Institutionen för matematiska vetenskaper, matematisk statistik) ; Aila Särkkä (Institutionen för matematiska vetenskaper, matematisk statistik)
Computational Statistics & Data Analysis (0167-9473). Vol. 55 (2011), 7, p. 2209-2220.
[Artikel, refereegranskad vetenskaplig]

Three edge correction methods for (marked) spatio-temporal point processes are proposed. They are all based on the idea of placing an approximated expected behaviour of the process at hand (simulated realisations) outside the study region which interacts with the data during the estimation. These methods are applied to the so-called growth-interaction model. The specific choices of growth function and interaction function made are purely motivated by the forestry applications considered. The parameters of the growth and interaction functions, i.e. the parameters related to the development of the marks, are estimated using the least-squares approach together with the proposed edge corrections. Finally, the edge corrected estimation methods are applied to a data set of Swedish Scots pine.

Nyckelord: Edge correction, Forest data, Least squares estimation, Spatio-temporal, marked point processes, neighborhood competition, spatial structure, growth, space, time

Denna post skapades 2011-05-18. Senast ändrad 2014-11-27.
CPL Pubid: 140778


Läs direkt!

Länk till annan sajt (kan kräva inloggning)

Institutioner (Chalmers)

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


Tillämpad matematik

Chalmers infrastruktur

Relaterade publikationer

Denna publikation ingår i:

Modelling and Inference for Spatio-Temporal Marked Point Processes