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06/29/2023
Non-stationary Bayesian Spatial Model for Disease Mapping based on Sub-regions
This paper aims to extend the Besag model, a widely used Bayesian spatia...
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12/04/2022
Bayesian survival analysis with INLA
This tutorial uses the conjunction of INLA and INLAjoint R-packages to s...
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04/14/2022
A new avenue for Bayesian inference with INLA
Integrated Nested Laplace Approximations (INLA) has been a successful ap...
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04/10/2022
Parallelized integrated nested Laplace approximations for fast Bayesian inference
There is a growing demand for performing larger-scale Bayesian inference...
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03/27/2022
An Extended Simplified Laplace strategy for Approximate Bayesian inference of Latent Gaussian Models using R-INLA
Various computational challenges arise when applying Bayesian inference ...
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03/11/2022
Fast and flexible inference approach for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations
Joint modeling longitudinal and survival data offers many advantages suc...
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01/30/2022
Joint Quantile Disease Mapping with Application to Malaria and G6PD Deficiency
Statistical analysis based on quantile regression methods is more compre...
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12/06/2021
Joint Posterior Inference for Latent Gaussian Models with R-INLA
Efficient Bayesian inference remains a computational challenge in hierar...
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11/25/2021
Correcting the Laplace Method with Variational Bayes
Approximate inference methods like the Laplace method, Laplace approxima...
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06/14/2021
Smart Gradient – An Adaptive Technique for Improving Gradient Estimation
Computing the gradient of a function provides fundamental information ab...
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10/26/2020
Bayesian Estimation of Two-Part Joint Models for a Longitudinal Semicontinuous Biomarker and a Terminal Event with R-INLA: Interests for Cancer Clinical Trial Evaluation
Two-part joint model for a longitudinal semicontinuous biomarker and a t...
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09/20/2020
Skewed probit regression – Identifiability, contraction and reformulation
Skewed probit regression is but one example of a statistical model that ...
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02/16/2020
A principled distance-based prior for the shape of the Weibull model
The use of flat or weakly informative priors is popular due to the objec...
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09/04/2019
Competing risks joint models using R-INLA
The methodological advancements made in the field of joint models are nu...
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07/24/2019
New frontiers in Bayesian modeling using the INLA package in R
The INLA package provides a tool for computationally efficient Bayesian ...
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01/27/2019