dc.contributor.author | Luo, Xin | |
dc.contributor.author | Tjelmeland, Håkon | |
dc.date.accessioned | 2020-01-14T09:45:43Z | |
dc.date.available | 2020-01-14T09:45:43Z | |
dc.date.created | 2019-05-10T15:20:23Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Statistics and computing. 2019, 29 (2), 367-389. | nb_NO |
dc.identifier.issn | 0960-3174 | |
dc.identifier.uri | http://hdl.handle.net/11250/2636133 | |
dc.description.abstract | We propose prior distributions for all parts of the specification of a Markov mesh model. In the formulation, we define priors for the sequential neighborhood, for the parametric form of the conditional distributions and for the parameter values. By simulating from the resulting posterior distribution when conditioning on an observed scene, we thereby obtain an automatic model selection procedure for Markov mesh models. To sample from such a posterior distribution, we construct a reversible jump Markov chain Monte Carlo algorithm (RJMCMC). We demonstrate the usefulness of our prior formulation and the limitations of our RJMCMC algorithm in two examples. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Springer Verlag | nb_NO |
dc.title | Prior specification for binary Markov mesh models | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 367-389 | nb_NO |
dc.source.volume | 29 | nb_NO |
dc.source.journal | Statistics and computing | nb_NO |
dc.source.issue | 2 | nb_NO |
dc.identifier.doi | 10.1007/s11222-018-9813-7 | |
dc.identifier.cristin | 1696986 | |
dc.description.localcode | This is a post-peer-review, pre-copyedit version of an article. Locked until 2.5.2019 due to copyright restrictions. The final authenticated version is available online at: https://doi.org/10.1007/s11222-018-9813-7 | nb_NO |
cristin.unitcode | 194,63,15,0 | |
cristin.unitname | Institutt for matematiske fag | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 2 | |