A primer on disease mapping and ecological regression using \({\mathtt{INLA}}\)
From MaRDI portal
Publication:2513344
DOI10.1007/s00180-010-0208-2zbMath1304.65067OpenAlexW1963962539MaRDI QIDQ2513344
Birgit Schrödle, Leonhard Held
Publication date: 28 January 2015
Published in: Computational Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00180-010-0208-2
Related Items
On the convenience of heteroscedasticity in highly multivariate disease mapping, Spatio‐temporal Bayesian model selection for disease mapping, On Russian roulette estimates for Bayesian inference with doubly-intractable likelihoods, Bayesian computation: a summary of the current state, and samples backwards and forwards, A Case Study for Modelling Cancer Incidence Using Bayesian Spatio-Temporal Models, A hitchhiker's view on spatial statistics and spatial econometrics for lattice data, Bayesian estimation with integrated nested Laplace approximation for binary logit mixed models, Comparison of Bayesian methods for flexible modeling of spatial risk surfaces in disease mapping, Bayesian inferences for beta semiparametric-mixed models to analyze longitudinal neuroimaging data, Bayesian scanning of spatial disease rates with integrated nested Laplace approximation (INLA), Space-time smoothing of complex survey data: small area estimation for child mortality
Uses Software
Cites Work
- Unnamed Item
- Approximate Bayesian inference for hierarchical Gaussian Markov random field models
- Bayesian image restoration, with two applications in spatial statistics (with discussion)
- Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
- Bayesian Extrapolation of Space-Time Trends in Cancer Registry Data
- On the Second‐Order Random Walk Model for Irregular Locations
- Accurate Approximations for Posterior Moments and Marginal Densities
- A Bayesian Approach to Robust Binary Nonparametric Regression
- Bayesian Measures of Model Complexity and Fit
- Gaussian Markov Random Fields
- Strictly Proper Scoring Rules, Prediction, and Estimation
- On Information and Sufficiency
- Predictive Model Assessment for Count Data
