University of Aberdeen logo

AURA - Aberdeen University Research Archive

 

Careful prior specification avoids incautious inference for log-Gaussian Cox point processes

dc.contributor.authorSørbye, Sigrunn H.
dc.contributor.authorIllian, Janine B.
dc.contributor.authorSimpson, Daniel P.
dc.contributor.authorBurslem, David F. R. P.
dc.contributor.authorRue, Håvard
dc.contributor.institutionUniversity of Aberdeen.Environment and Food Securityen
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.date.accessioned2019-11-02T00:06:32Z
dc.date.available2019-11-02T00:06:32Z
dc.date.embargoedUntil2019-11-02
dc.date.issued2019-04
dc.descriptionThe BCI forest dynamics research project was founded by S.P. Hubbell and R.B. Foster and is now managed by R. Condit, S. Lao, and R. Perez under the Center for Tropical Forest Science and the Smithsonian Tropical Research in Panama. Numerous organizations have provided funding, principally the U.S. National Science Foundation, and hundreds of field workers have contributed. The data used can be requested and generally granted at http://ctfs.si.edudatarequest. Kriged estimates for concentration of the soil nutrients were downloaded from http://ctfs.si.edu/webatlas/datasets/bci/soilmaps/BCIsoil.html. We acknowledge the principal investigators that were responsible for collecting and analysing the soil maps (Jim Dallin, Robert John, Kyle Harms, Robert Stallard and Joe Yavitt), the funding sources (NSF DEB021104,021115, 0212284,0212818 and OISE 0314581, STRI Soils Initiative and CTFS) and field assistants (Paolo Segre and Juan Di Trani).en
dc.description.statusPeer revieweden
dc.format.extent20
dc.format.extent1512408
dc.identifier140411161
dc.identifier012f366d-9ce1-4758-830a-ba5483147696
dc.identifier85055945954
dc.identifier.citationSørbye, S H, Illian, J B, Simpson, D P, Burslem, D F R P & Rue, H 2019, 'Careful prior specification avoids incautious inference for log-Gaussian Cox point processes', Journal of the royal statistical society series c-Applied statistics, vol. 68, no. 3, pp. 543-564. https://doi.org/10.1111/rssc.12321en
dc.identifier.doi10.1111/rssc.12321
dc.identifier.iss3en
dc.identifier.issn0035-9254
dc.identifier.otherORCID: /0000-0001-6033-0990/work/68492791
dc.identifier.urihttps://hdl.handle.net/2164/13212
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85055945954&partnerID=8YFLogxKen
dc.identifier.vol68en
dc.language.isoeng
dc.relation.ispartofJournal of the royal statistical society series c-Applied statisticsen
dc.subjectBayesian analysisen
dc.subjectspatial point processen
dc.subjectpenalised complexity prioren
dc.subjectR-INLAen
dc.subjectSpatial modellingen
dc.subjectPenalized complexity prioren
dc.subjectSpatial point processen
dc.subjectQA Mathematicsen
dc.subjectQH301 Biologyen
dc.subjectStatistics and Probabilityen
dc.subjectStatistics, Probability and Uncertaintyen
dc.subject.lccQAen
dc.subject.lccQH301en
dc.titleCareful prior specification avoids incautious inference for log-Gaussian Cox point processesen
dc.typeJournal articleen

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
sorbye_etal2018.pdf
Size:
1.44 MB
Format:
Adobe Portable Document Format

Collections