# Bayesian hierarchical spatial models: Implementing the Besag York Mollié model in stan

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/bayesian-hierarchical-spatial-models-implementing-the-besag-york-mollie-model-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mitzi Morris,Katherine Wheeler-Martin,Dan P. Simpson,Stephen J. Mooney,Andrew Gelman,Charles DiMaggio |
| Citations | 188 |
| DOI | 10.1016/j.sste.2019.100301 |
| Fields | Engineering,Mathematics,Social Sciences |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/6830524 |
| OpenAlex ID | https://openalex.org/W2968490943 |
| PMID | 31677766 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Charles DiMaggio](https://scholariq.org/researchers/charles-dimaggio/)

## Paper primary topic

- [Traffic and Road Safety](https://scholariq.org/topics/traffic-and-road-safety/)

## Paper topics

- [Traffic and Road Safety](https://scholariq.org/topics/traffic-and-road-safety/)
- [Urban Transport and Accessibility](https://scholariq.org/topics/urban-transport-and-accessibility/)
- [Statistical Methods and Bayesian Inference](https://scholariq.org/topics/statistical-methods-and-bayesian-inference/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.