Matches in SemOpenAlex for { <https://semopenalex.org/work/W1718112521> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W1718112521 abstract "Gaussian Markov random field (GMRF) models are commonly used to model spatial correlation in disease mapping applications. For Bayesian inference by MCMC, so far mainly single-site updating algorithms have been considered. However, convergence and mixing properties of such algorithms can be extremely bad due to strong dependencies of parameters in the posterior distribution. In this paper, we propose various block sampling algorithms in order to improve the MCMC performance. The methodology is rather general, allows for non-standard full conditionals, and can be applied in a modular fashion in a large number of different scenarios. For illustration we consider three different models: two formulations for spatial modelling of a single disease (with and without additional unstructured parameters respectively), and one formulation for the joint analysis of two diseases. We apply the proposed algorithms to two datasets known from the literature. The results indicate that the largest benefits are obtained if parameters and the corresponding hyperparameter are updated jointly in one large block. In certain situations, even updating of all or nearly all parameters in one block may be necessary. Implementation of such block algorithms is surprisingly easy using methods for fast sampling of Gaussian Markov random fields (Rue, 2000). By comparison, estimates of the relative risk and related quantities, such as the posterior probability of an exceedence relative risk, based on single-site updating, can be rather misleading, even for very long runs. Our results may have wider relevance for efficient MCMC simulation in hierarchical models with Markov random field components." @default.
- W1718112521 created "2016-06-24" @default.
- W1718112521 creator A5000104956 @default.
- W1718112521 creator A5061250326 @default.
- W1718112521 date "2000-01-01" @default.
- W1718112521 modified "2023-09-28" @default.
- W1718112521 title "On block updating in Markov random field models for disease mapping. (REVISED, May 2001)" @default.
- W1718112521 doi "https://doi.org/10.5282/ubm/epub.1600" @default.
- W1718112521 hasPublicationYear "2000" @default.
- W1718112521 type Work @default.
- W1718112521 sameAs 1718112521 @default.
- W1718112521 citedByCount "0" @default.
- W1718112521 crossrefType "journal-article" @default.
- W1718112521 hasAuthorship W1718112521A5000104956 @default.
- W1718112521 hasAuthorship W1718112521A5061250326 @default.
- W1718112521 hasConcept C105795698 @default.
- W1718112521 hasConcept C106131492 @default.
- W1718112521 hasConcept C107673813 @default.
- W1718112521 hasConcept C111350023 @default.
- W1718112521 hasConcept C11413529 @default.
- W1718112521 hasConcept C119857082 @default.
- W1718112521 hasConcept C121332964 @default.
- W1718112521 hasConcept C124504099 @default.
- W1718112521 hasConcept C130402806 @default.
- W1718112521 hasConcept C140779682 @default.
- W1718112521 hasConcept C154945302 @default.
- W1718112521 hasConcept C160234255 @default.
- W1718112521 hasConcept C163716315 @default.
- W1718112521 hasConcept C202444582 @default.
- W1718112521 hasConcept C2524010 @default.
- W1718112521 hasConcept C2777210771 @default.
- W1718112521 hasConcept C2778045648 @default.
- W1718112521 hasConcept C31972630 @default.
- W1718112521 hasConcept C33923547 @default.
- W1718112521 hasConcept C41008148 @default.
- W1718112521 hasConcept C57830394 @default.
- W1718112521 hasConcept C62520636 @default.
- W1718112521 hasConcept C89600930 @default.
- W1718112521 hasConcept C9652623 @default.
- W1718112521 hasConcept C98763669 @default.
- W1718112521 hasConceptScore W1718112521C105795698 @default.
- W1718112521 hasConceptScore W1718112521C106131492 @default.
- W1718112521 hasConceptScore W1718112521C107673813 @default.
- W1718112521 hasConceptScore W1718112521C111350023 @default.
- W1718112521 hasConceptScore W1718112521C11413529 @default.
- W1718112521 hasConceptScore W1718112521C119857082 @default.
- W1718112521 hasConceptScore W1718112521C121332964 @default.
- W1718112521 hasConceptScore W1718112521C124504099 @default.
- W1718112521 hasConceptScore W1718112521C130402806 @default.
- W1718112521 hasConceptScore W1718112521C140779682 @default.
- W1718112521 hasConceptScore W1718112521C154945302 @default.
- W1718112521 hasConceptScore W1718112521C160234255 @default.
- W1718112521 hasConceptScore W1718112521C163716315 @default.
- W1718112521 hasConceptScore W1718112521C202444582 @default.
- W1718112521 hasConceptScore W1718112521C2524010 @default.
- W1718112521 hasConceptScore W1718112521C2777210771 @default.
- W1718112521 hasConceptScore W1718112521C2778045648 @default.
- W1718112521 hasConceptScore W1718112521C31972630 @default.
- W1718112521 hasConceptScore W1718112521C33923547 @default.
- W1718112521 hasConceptScore W1718112521C41008148 @default.
- W1718112521 hasConceptScore W1718112521C57830394 @default.
- W1718112521 hasConceptScore W1718112521C62520636 @default.
- W1718112521 hasConceptScore W1718112521C89600930 @default.
- W1718112521 hasConceptScore W1718112521C9652623 @default.
- W1718112521 hasConceptScore W1718112521C98763669 @default.
- W1718112521 hasLocation W17181125211 @default.
- W1718112521 hasOpenAccess W1718112521 @default.
- W1718112521 hasPrimaryLocation W17181125211 @default.
- W1718112521 hasRelatedWork W1128495746 @default.
- W1718112521 hasRelatedWork W145458542 @default.
- W1718112521 hasRelatedWork W1854678277 @default.
- W1718112521 hasRelatedWork W2054401118 @default.
- W1718112521 hasRelatedWork W2141131780 @default.
- W1718112521 hasRelatedWork W2144731007 @default.
- W1718112521 hasRelatedWork W2152657433 @default.
- W1718112521 hasRelatedWork W2166414779 @default.
- W1718112521 hasRelatedWork W2275326934 @default.
- W1718112521 hasRelatedWork W2498739143 @default.
- W1718112521 hasRelatedWork W2891852604 @default.
- W1718112521 hasRelatedWork W2940715532 @default.
- W1718112521 hasRelatedWork W2952856729 @default.
- W1718112521 hasRelatedWork W2972597983 @default.
- W1718112521 hasRelatedWork W3010999265 @default.
- W1718112521 hasRelatedWork W3104898082 @default.
- W1718112521 hasRelatedWork W3214624707 @default.
- W1718112521 hasRelatedWork W597463951 @default.
- W1718112521 hasRelatedWork W849187530 @default.
- W1718112521 hasRelatedWork W2155650224 @default.
- W1718112521 isParatext "false" @default.
- W1718112521 isRetracted "false" @default.
- W1718112521 magId "1718112521" @default.
- W1718112521 workType "article" @default.