research
∙
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...
share
research
∙
03/27/2023
Integrated Nested Laplace Approximations for Large-Scale Spatial-Temporal Bayesian Modeling
Bayesian inference tasks continue to pose a computational challenge. Thi...
research
∙
04/14/2022
A new avenue for Bayesian inference with INLA
Integrated Nested Laplace Approximations (INLA) has been a successful ap...
research
∙
02/14/2022
Joint Modeling and Prediction of Massive Spatio-Temporal Wildfire Count and Burnt Area Data with the INLA-SPDE Approach
This paper describes the methodology used by the team RedSea in the data...
research
∙
06/16/2020
A joint bayesian space-time model to integrate spatially misaligned air pollution data in R-INLA
In air pollution studies, dispersion models provide estimates of concent...
research
∙
06/08/2020
The diffusion-based extension of the Matérn field to space-time
The Matérn field is the most well known family of covariance functions u...
research
∙
02/18/2018
