14 citations · 23 across the 7 of their papers we have counts for
5 papers · 1 filter
Non-stationary Bayesian Spatial Model for Disease Mapping based on Sub-regions
Esmail Abdul Fattah, Elias Krainski, Janet van Niekerk +1
This paper aims to extend the Besag model, a widely used Bayesian spatial model in disease mapping, to a non-stationary spatial model for irregular lattice-type data. The goal is t…
An Extended Simplified Laplace strategy for Approximate Bayesian inference of Latent Gaussian Models using R-INLA
Cristian Chiuchiolo, Janet van Niekerk, Håvard Rue
Various computational challenges arise when applying Bayesian inference approaches to complex hierarchical models. Sampling-based inference methods, such as Markov Chain Monte Carl…
Competing risks joint models using R-INLA
Janet van Niekerk, Haakon Bakka, Haavard Rue
The methodological advancements made in the field of joint models are numerous. None the less, the case of competing risks joint models have largely been neglected, especially from…
New frontiers in Bayesian modeling using the INLA package in R
Janet van Niekerk, Haakon Bakka, Haavard Rue +1
The INLA package provides a tool for computationally efficient Bayesian modeling and inference for various widely used models, more formally the class of latent Gaussian models. It…
Joint models as latent Gaussian models - not reinventing the wheel
Janet Van Niekerk, Haakon Bakka, Haavard Rue
Joint models have received increasing attention during recent years with extensions into various directions; numerous hazard functions, different association structures, linear and…