Add to ORKGThis work extends the Integrated Nested Laplace Approximation (INLA) method to latent models outside the scope of latent Gaussian models, where independent components of the latent field can have a near-Gaussian distribution. The proposed methodology is an essential component of a bigger project that aim to extend the R package INLA (R-INLA) in order to allow the user to add flexibility and challenge the Gaussian assumptions of some of the model components in a straightforward and intuitive way. Our approach is applied to two examples and the results are compared with that obtained by Markov Chain Monte Carlo (MCMC), showing similar accuracy with only a small fraction of computational time. Implementation of the proposed extension is availa...
The Integrated Nested Laplace Approximation (INLA) provides fast and accurate Bayesian inference for...
Integrated nested Laplace approximation (INLA) provides a fast and yet quite exact approach to fitti...
Integrated nested Laplace approximation (INLA) provides a fast and yet quite exact approach to fitti...
Abstract Latent Gaussian models are a common construct in statistical applications where a latent Ga...
Latent Gaussian models are a common construct in statistical applications where some latent field, w...
The key operation in Bayesian inference is to compute high-dimensional integrals. An old approximate...
The key operation in Bayesian inference is to compute high-dimensional integrals. An old approximate...
The INLA approach for approximate Bayesian inference for latent Gaussian models has been shown to gi...
The integrated nested Laplace approximation (INLA) provides an interesting way of approximating the ...
Summary. Structured additive regression models are perhaps the most commonly used class of models in...
Structured additive regression models are perhaps the most commonly used class of models in statisti...
During the last three decades, Bayesian methods have developed greatly in the field of epidemiology....
The integrated nested Laplace approximation (INLA) provides an interesting way of approximating the ...
The principles behind the interface to continuous domain spatial models in the R- INLA software pack...
The INLA package provides a tool for computationally efficient Bayesian modeling and inference for v...
The Integrated Nested Laplace Approximation (INLA) provides fast and accurate Bayesian inference for...
Integrated nested Laplace approximation (INLA) provides a fast and yet quite exact approach to fitti...
Integrated nested Laplace approximation (INLA) provides a fast and yet quite exact approach to fitti...
Abstract Latent Gaussian models are a common construct in statistical applications where a latent Ga...
Latent Gaussian models are a common construct in statistical applications where some latent field, w...
The key operation in Bayesian inference is to compute high-dimensional integrals. An old approximate...
The key operation in Bayesian inference is to compute high-dimensional integrals. An old approximate...
The INLA approach for approximate Bayesian inference for latent Gaussian models has been shown to gi...
The integrated nested Laplace approximation (INLA) provides an interesting way of approximating the ...
Summary. Structured additive regression models are perhaps the most commonly used class of models in...
Structured additive regression models are perhaps the most commonly used class of models in statisti...
During the last three decades, Bayesian methods have developed greatly in the field of epidemiology....
The integrated nested Laplace approximation (INLA) provides an interesting way of approximating the ...
The principles behind the interface to continuous domain spatial models in the R- INLA software pack...
The INLA package provides a tool for computationally efficient Bayesian modeling and inference for v...
The Integrated Nested Laplace Approximation (INLA) provides fast and accurate Bayesian inference for...
Integrated nested Laplace approximation (INLA) provides a fast and yet quite exact approach to fitti...
Integrated nested Laplace approximation (INLA) provides a fast and yet quite exact approach to fitti...