Skip to main content
Extensions of Dynamic Programming, Machine Learning, Discrete Optimization
TREES
Extensions of Dynamic Programming, Machine Learning, Discrete Optimization
Main navigation
Home
People
All Profiles
Principal Investigators
Postdoctoral Fellows
Students
Alumni
Former Members
Events
All Events
Events Calendar
News
Teaching
Collaborators
Books
Contact Us
stochastic smoothing pipeline
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.
