Adjusted composite likelihood ratio test for spatial Gibbs point processes
MetadataShow full item record
© 2015 Taylor & Francis We investigate an analogue of the likelihood ratio test for spatial Gibbs point process models fitted by maximum pseudolikelihood or maximum composite likelihood. The test statistic must be adjusted in order to obtain an asymptotic (Formula presented.) distribution under the null hypothesis. Adjustments developed for composite likelihoods of finite systems of random variables are adapted to the point process setting. Recent results in point process theory are used to estimate the composite information J and sensitivity H from the point pattern data. In a large simulation experiment we find that the proposed test is exact if J and H are known exactly; it is slightly conservative when J and H are estimated from the data.
Showing items related by title, author, creator and subject.
Baddeley, Adrian (2016)© 2017 Elsevier B.V.We develop a general approach to spatial inhomogeneity in the analysis of spatial point pattern data. The ideas of local likelihood (or 'geographically weighted regression') are applied to the composite ...
The role of functional, radiological and self-reported measures in predicting clinical outcome in spondylotic cervical radiculopathyAgarwal, Shabnam (2011)BackgroundCervical radiculopathy (CR) results in significant disability and pain and is commonly treated conservatively with satisfactory clinical outcomes. However, a considerable number of patients require surgery to ...
Size exclusion chromatography as a tool for natural organic matter characterisation in drinking water treatmentAllpike, Bradley (2008)Natural organic matter (NOM), ubiquitous in natural water sources, is generated by biogeochemical processes in both the water body and in the surrounding watershed, as well as from the contribution of organic compounds ...