Bayesian inference in multivariate spatio-temporal areal models using INLA: analysis of gender-based violence in small areas
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Bayesian inference in multivariate spatio-temporal areal models using INLA: analysis of gender-based violence in small areas
Authors
Keywords
-
Journal
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-05-22
DOI
10.1007/s00477-020-01808-x
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- On the convenience of heteroscedasticity in highly multivariate disease mapping
- (2019) F. Corpas-Burgos et al. TEST
- Crime against women in India: unveiling spatial patterns and temporal trends of dowry deaths in the districts of Uttar Pradesh
- (2019) G. Vicente et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY
- Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster
- (2018) Luigi Lombardo et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Some recent work on multivariate Gaussian Markov random fields
- (2018) Ying C. MacNab TEST
- In spatio-temporal disease mapping models, identifiability constraints affect PQL and INLA results
- (2017) T. Goicoa et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Linear models of coregionalization for multivariate lattice data: Order-dependent and order-free cMCARs
- (2016) Ying C MacNab STATISTICAL METHODS IN MEDICAL RESEARCH
- Linear models of coregionalization for multivariate lattice data: a general framework for coregionalized multivariate CAR models
- (2016) Ying C. MacNab STATISTICS IN MEDICINE
- Smoothing and high risk areas detection in space-time disease mapping: a comparison of P-splines, autoregressive, and moving average models
- (2016) A. Adin et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Bayesian Spatial Modelling withR-INLA
- (2015) Finn Lindgren et al. Journal of Statistical Software
- A unifying modeling framework for highly multivariate disease mapping
- (2015) P. Botella-Rocamora et al. STATISTICS IN MEDICINE
- Sexual violence and rape in India
- (2014) Anita Raj et al. LANCET
- Gender-based violence: more research (funding) please
- (2014) Zoë Mullan Lancet Global Health
- Space–time variability in burglary risk: A Bayesian spatio-temporal modelling approach
- (2014) G. Li et al. Spatial Statistics
- A general modelling framework for multivariate disease mapping
- (2013) M. A. Martinez-Beneito BIOMETRIKA
- A spatial analysis of multivariate output from regional climate models
- (2011) Stephan R. Sain et al. Annals of Applied Statistics
- Adding Spatially-Correlated Errors Can Mess Up the Fixed Effect You Love
- (2010) James S. Hodges et al. AMERICAN STATISTICIAN
- On Gaussian Markov random fields and Bayesian disease mapping
- (2010) Ying C MacNab STATISTICAL METHODS IN MEDICAL RESEARCH
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
- (2009) Håvard Rue et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started