transparent gif

 

Ej inloggad.

Göteborgs universitets publikationer

Classification of Points in Superpositions of Strauss and Poisson Processes

Författare och institution:
Claudia Redenbach (-); Martina Sormani (-); Aila Särkkä (Institutionen för matematiska vetenskaper, matematisk statistik, Chalmers/GU)
Publicerad i:
Spatial Statistics, 12 s. 81-95
ISSN:
2211-6753
Publikationstyp:
Artikel, refereegranskad vetenskaplig
Publiceringsår:
2015
Språk:
engelska
Fulltextlänk:
Sammanfattning (abstract):
Consider a realisation of a point process which is formed as a superposition of a regular point process, here a Strauss process, and some Poisson noise. The aim of the current work is to decide which of the two processes each point belongs to. We construct an MCMC algorithm which estimates the parameters of the superposition model and obtains posterior probabilities for each point of being a Strauss point. The algorithm is evaluated in a simulation study. Finally, it is applied to our motivating data set containing the locations of air bubbles, some of which are noise, in an Antarctic ice core.
Ämne (baseras på Högskoleverkets indelning av forskningsämnen):
NATURVETENSKAP ->
Matematik
Nyckelord:
Bayesian inference, Markov chain Monte Carlo, Noise detection, Noise removal, Parameter estimation, Spatial point process
Chalmers styrkeområden:
Materialvetenskap
Chalmers drivkrafter:
Hållbar utveckling
Postens nummer:
225651
Posten skapad:
2015-11-12 12:28
Posten ändrad:
2016-07-07 15:53

Visa i Endnote-format

Göteborgs universitet • Tel. 031-786 0000
© Göteborgs universitet 2007