Generalized Hierarchical Multivariate CAR Models for Areal Data
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Summary
This article proposes a flexible new class of generalized multivariate conditionally autoregressive (GMCAR) models for areal data, and shows how it enriches the MCAR class.
- Type
- dissertation
- Published
- 2005-12-01
- Cited by
- 251
- References
- 26
- OpenAlex
- https://openalex.org/W16401268
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:2101704
Keywords
Humanities, Geography, Art, Horticulture, Biology
References
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- Bayesian methods on selected topics
- Longevity pattern in Emilia Romagna (Italy) in a dynamic perspective
- Bayesian modelling of the spatial distribution of road accidents
- NCRN Meeting Fall 2014: Mixed Effects Modeling for Multivariate-Spatio-Temporal Areal Data
- Geostatistical modelling of spatial potentials
- Methods for the analysis of spatio-temporal multi-state processes
- Multivariate CAR Models in Health Care Research
- Multivariate Spatial Covariance Models: A Conditional Approach
- Convergence Rates in Nonparametric Bayesian Density Estimation
- Mixed Effects Modeling for Areal Data that Exhibit Multivariate-Spatio-Temporal Dependencies
- A Spatial Poisson Hurdle Model for Exploring Geographic Variation in Emergency Department Visits
- Multivariate spatial models of excess crash frequency at area level: case of Costa Rica.
- Reconstruction of late Holocene climate based on tree growth and mechanistic hierarchical models
- Modeling Transport Mode Decisions Using Hierarchical Binary Spatial Regression Models with Cluster Effects
- Spatial multinomial regression models for nominal categorical data: a study of land cover in Northern Wisconsin, USA
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