Cargando…
Bayesian disease mapping: Past, present, and future
On the occasion of the Spatial Statistics’ 10th Anniversary, I reflect on the past and present of Bayesian disease mapping and look into its future. I focus on some key developments of models, and on recent evolution of multivariate and adaptive Gaussian Markov random fields and their impact and imp...
Autor principal: | MacNab, Ying C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769562/ https://www.ncbi.nlm.nih.gov/pubmed/35075407 http://dx.doi.org/10.1016/j.spasta.2022.100593 |
Ejemplares similares
-
Revisiting Gaussian Markov random fields and Bayesian disease mapping
por: MacNab, Ying C
Publicado: (2022) -
Adaptive Gaussian Markov random field spatiotemporal models for infectious disease mapping and forecasting
por: MacNab, Ying C.
Publicado: (2023) -
Grandfamilies and the Opioid Epidemic: A Systemic Perspective and Future Priorities
por: Dolbin-MacNab, Megan L., et al.
Publicado: (2021) -
Mapping the past, present and future research landscape of paternal effects
por: Rutkowska, Joanna, et al.
Publicado: (2020) -
Past, Present, and Future of Infectious Diseases
por: Liu, Bailu, et al.
Publicado: (2015)