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12/21/2022
Bayesian Inference for Multivariate Spatial Models with R-INLA
Bayesian methods and software for spatial data analysis are generally no...
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08/03/2022
Improving radiation dose estimation using the gamma-H2AX biomarker
To predict the health effects of accidental or therapeutic radiation exp...
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01/19/2022
Fitting Double Hierarchical Models with the Integrated Nested Laplace Approximation
Double hierarchical generalized linear models (DHGLM) are a family of mo...
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01/17/2022
A framework for estimating and visualising excess mortality during the COVID-19 pandemic
COVID-19 related deaths underestimate the pandemic burden on mortality b...
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06/14/2021
Bayesian hierarchical nonlinear modelling of intra-abdominal volume during pneumoperitoneum for laparoscopic surgery
Laparoscopy is an operation carried out in the abdomen or pelvis through...
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03/03/2021
Importance Sampling with the Integrated Nested Laplace Approximation
The Integrated Nested Laplace Approximation (INLA) is a deterministic ap...
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02/02/2021
Bayesian analysis of population health data
The analysis of population-wide datasets can provide insight on the heal...
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05/12/2020
Bayesian survival analysis with BUGS
Survival analysis is one of the most important fields of statistics in m...
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04/24/2020
A Bayesian Multilevel Random-Effects Model for Estimating Noise in Image Sensors
Sensor noise sources cause differences in the signal recorded across pix...
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12/23/2019
Missing data analysis and imputation via latent Gaussian Markov random fields
In this paper we recast the problem of missing values in the covariates ...
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11/02/2019
Bayesian model averaging with the integrated nested Laplace approximation
The integrated nested Laplace approximation (INLA) for Bayesian inferenc...
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10/28/2019
Correlated functional models with derivative information for modeling MFS data on rock art paintings
Microfading Spectrometry (MFS) is a method for assessing light sensitivi...
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09/24/2019
Bayesian Multivariate Spatial Models for Lattice Data with INLA
The INLAMSM package for the R programming language provides a collection...
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03/27/2019
Approximate Bayesian inference for multivariate point pattern analysis in disease mapping
We present a novel approach for the analysis of multivariate case-contro...
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06/25/2018
Approximate Bayesian inference for mixture cure models
Cure models in survival analysis deal with populations in which a part o...
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12/27/2017