3 citations · 7 across the 7 of their papers we have counts for
9 papers
Efficient model exploration with the integrated nested Laplace approximation
Héctor López-Gómez, Virgilio Gómez-Rubio, Gonzalo García-Donato
Model and variable selection are important topics in Bayesian inference. In particular, the selection of different fixed, random effects and hyperparameters in hierarchical models…
Improving radiation dose estimation using the gamma-H2AX biomarker
Dorota Młynarczyk, Pedro Puig, Carmen Armero +3
To predict the health effects of accidental or therapeutic radiation exposure, one must estimate the radiation dose that person received. A well-known ionising radiation biomarker,…
Fitting Double Hierarchical Models with the Integrated Nested Laplace Approximation
Mabel Morales-Otero, Virgilio Gómez-Rubio, Vicente Núñez-Antón
Double hierarchical generalized linear models (DHGLM) are a family of models that are flexible enough as to model hierarchically the mean and scale parameters. In a Bayesian framew…
Bayesian hierarchical nonlinear modelling of intra-abdominal volume during pneumoperitoneum for laparoscopic surgery
Gabriel Calvo, Carmen Armero, Virgilio Gómez-Rubio +1
Laparoscopy is an operation carried out in the abdomen or pelvis through small incisions with external visual control by a camera. This technique needs the abdomen to be insufflate…
Importance Sampling with the Integrated Nested Laplace Approximation
Martin Outzen Berild, Sara Martino, Virgilio Gómez-Rubio +1
The Integrated Nested Laplace Approximation (INLA) is a deterministic approach to Bayesian inference on latent Gaussian models (LGMs) and focuses on fast and accurate approximation…
Missing data analysis and imputation via latent Gaussian Markov random fields
Virgilio Gómez-Rubio, Michela Cameletti, Marta Blangiardo
In this paper we recast the problem of missing values in the covariates of a regression model as a latent Gaussian Markov random field (GMRF) model in a fully Bayesian framework. O…
Bayesian model averaging with the integrated nested Laplace approximation
Virgilio Gómez-Rubio, Roger S. Bivand, Håvard Rue
The integrated nested Laplace approximation (INLA) for Bayesian inference is an efficient approach to estimate the posterior marginal distributions of the parameters and latent eff…
Correlated functional models with derivative information for modeling MFS data on rock art paintings
Gabriel Riutort-Mayol, Virgilio Gómez-Rubio, José Luis Lerma +1
Microfading Spectrometry (MFS) is a method for assessing light sensitivity color (spectral) variations of cultural heritage objects. Each measured point on the surface gives rise t…
Spatial Models with the Integrated Nested Laplace Approximation within Markov Chain Monte Carlo
Virgilio Gómez-Rubio, Francisco Palmí-Perales
The Integrated Nested Laplace Approximation (INLA) is a convenient way to obtain approximations to the posterior marginals for parameters in Bayesian hierarchical models when the l…