R-INLA

Dr. Elias Krainski Leads INLA Course in Brazil

1 min read · Mon, Mar 30 2026

R-INLA INLA Bayesian and computational Statistics

Demonstrating our research group’s ongoing commitment to international collaboration and knowledge sharing, Dr. Elias Krainski recently concluded a successful five-day online short course on advanced statistical modelling for two premier Brazilian institutions: Universidade Federal de Minas Gerais (UFMG) and Universidade Federal do Paraná (UFPR).

Joint longitudinal-survival models using R-INLA

Janet van Niekerk, Research Scientist, Statistics

May 9, 12:00 - 13:00

B9 L2 H1

stochastic smoothing pipeline R-INLA

Joint models have received increasing attention during recent years with extensions into various directions; numerous hazard functions, different association structures, linear and non-linear longitudinal trajectories amongst others. They gained popularity amongst practitioners by the ability to incorporate various data sources. In this talk, we will introduce joint models and provide some conceptual ideas about their use and necessity. Also, we will illustrate how these models can be formulated as Latent Gaussian Models and hence be implemented using R-INLA.