Riebler 2016 - BYM2 Intuitive Spatial Model
Routing Summary
Full capture of Riebler, Sorbye, Simpson and Rue (2016), An intuitive Bayesian spatial model for disease mapping that accounts for scaling (SMMR; arXiv:1601.01180): the BYM2 parameterisation, graph-dependent scaling, PC priors for , simulation and Sardinia IDDM application.
- Need the paper on one page, PyMC example E18, section map? → Riebler 2016 - BYM2 Intuitive Spatial Model - Overview
- Need Besag, BYM, Leroux, Dean definitions? → Riebler 2016 - Classical Disease Mapping Models Besag BYM Leroux Dean
- Need scaling factor, BYM2 definition, sparse form, PyMC sketch? → Riebler 2016 - Scaling and the BYM2 Construction
- Need PC priors and KLD derivation? → Riebler 2016 - Penalised Complexity Priors for BYM2
- Need Tables 1-3, simulation design, Sardinia results? → Riebler 2016 - Simulation Study and Sardinia IDDM Application
Concept Map
| Concept | Note | Type | Depends On | Key Result |
|---|---|---|---|---|
| Besag/BYM/Leroux/Dean | Riebler 2016 - Classical Disease Mapping Models Besag BYM Leroux Dean | definition | none | Leroux cannot be scaled |
| Scaling, BYM2 | Riebler 2016 - Scaling and the BYM2 Construction | theorem | classical models | varies 0.29 to 4.78 across maps |
| PC priors | Riebler 2016 - Penalised Complexity Priors for BYM2 | theorem | BYM2 | ; type-2 Gumbel |
| Simulation, Sardinia | Riebler 2016 - Simulation Study and Sardinia IDDM Application | example | PC priors | shrinks to both base models |
Notes
- Riebler 2016 - BYM2 Intuitive Spatial Model - Overview — CONTAINS: question, contributions, E18 link, Source Map.
- Riebler 2016 - Classical Disease Mapping Models Besag BYM Leroux Dean — CONTAINS: Poisson setup, four latent models.
- Riebler 2016 - Scaling and the BYM2 Construction — CONTAINS: generalised variance, BYM2, sparse form, scaling code, PyMC sketch.
- Riebler 2016 - Penalised Complexity Priors for BYM2 — CONTAINS: PC principles, and priors, KLD derivation, code.
- Riebler 2016 - Simulation Study and Sardinia IDDM Application — CONTAINS: Tables 1-3, discussion, INLA call.
Sources
Riebler 2016 - BYM2 An Intuitive Bayesian Spatial Model for Disease Mapping
See Also
Spatial Models - BYM | Simpson 2016 - Going Off Grid - Overview