CURSO | A New Avenue in Bayesian Modeling using INLA

We are announcing the following short course, which is organized by Center of Statistics and Applications at the University of Lisbon (CEAUL) on May 26-27th 2022. Summary information is given below.

Title: A New Avenue in Bayesian Modeling using INLA
Date: Thursday 26 – Friday 27 May 2022
Lecturer: Prof. Håvard Rue and Dr. Janet van Niekerk, Elias Krainski, and Denis Rustand
KAUST – King Abdullah University of Science and Technology
Venue: Faculty of Science, Universidade de Lisboa, Portugal

Course Aims:
The main purpose of this course is to present new recent developments in integrated nested Laplace approximation (INLA) that is a method for approximate Bayesian inference. Although the INLA methodology focuses on models that can be expressed as latent Gaussian Markov random fields (GMRF), this encompasses a large family of models that are used in practice. INLA has been established as an alternative to other methods such as Markov chain Monte Carlo because of its speed and ease of use via the R-INLA package (https://www.r-inla.org/). The lectures would include sections of presentations of the new results and practical sections with coding to illustrate the results for considering some applications.

For more detailed information and registration form, please see https://inlashortcourse.weebly.com/

Enquiries to ceaul@fc.ul.pt (Vera Pinto).

Short Course Organizing Committee
Center of Statistics and Applications at the University of Lisbon
CEAUL: http://ceaul.org/