| dc.contributor.advisor | Wilson, Simon | |
| dc.contributor.author | Hayes, Bridette Anne-Marie | |
| dc.date.accessioned | 2019-04-30T09:05:11Z | |
| dc.date.available | 2019-04-30T09:05:11Z | |
| dc.date.issued | 2006 | |
| dc.identifier.citation | Bridette Anne-Marie Hayes, 'Improving exploration of posterior distributions in spatial models - a Markov chain Monte Carlo approach', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2006, pp 148 | |
| dc.identifier.other | THESIS 7967 | |
| dc.description.abstract | A Markov chain Monte Carlo (MCMC) algorithm is proposed for the evaluation of a posterior
distribution. The posterior distribution is from a model that has a spatial structure
and exhibits many characterisics which are typically cumbersome to MCMC algorithms.
The algorithm is construct with the purpose of conquering or significantly reducing these
difficulties. The performance of this algorithm is then investigated for a diversity of circumstances. | |
| dc.format | 1 volume | |
| dc.language.iso | en | |
| dc.publisher | Trinity College (Dublin, Ireland). School of Computer Science & Statistics | |
| dc.relation.isversionof | http://stella.catalogue.tcd.ie/iii/encore/record/C__Rb12734946 | |
| dc.subject | Statistics, Ph.D. | |
| dc.subject | Ph.D. Trinity College Dublin | |
| dc.title | Improving exploration of posterior distributions in spatial models - a Markov chain Monte Carlo approach | |
| dc.type | thesis | |
| dc.type.supercollection | thesis_dissertations | |
| dc.type.supercollection | refereed_publications | |
| dc.type.qualificationlevel | Doctoral | |
| dc.type.qualificationname | Doctor of Philosophy (Ph.D.) | |
| dc.rights.ecaccessrights | openAccess | |
| dc.format.extentpagination | pp 148 | |
| dc.description.note | TARA (Trinity's Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie | |
| dc.identifier.uri | http://hdl.handle.net/2262/86366 | |
