International Virtual Workshop “Introducing R-INLA and its application”

This workshop is the series of International Conference on Mathematics, Computational Sciences, and Statistics (ICoMCoS) 2020

R-INLA stands for R-Integrated Nested Laplace Approximations. INLA is a fast alternative to MCMC for the general class of latent Gaussian models (LGMs). Many familiar models can be re-cast to look like LGMs, such as GLM(M)s, GAM(M)s, time series, spatial models, measurement error models, dynamic linear models, stochastic volatility, spline smoothing, semiparametric regression, disease mapping, Log-Gaussian Cox-processes, spatio-temporal models, survival analysis.

In this workshop, the participant will learn R-INLA package directly from the founder, Prof. Haavard Rue. His expertise is Bayesian Computational Statistics and Modeling. He is from Statistics department at King Abdullah University of Science and Technology (KAUST), Saudi Arabia. In 2019, he awarded The world’s most influential researchers in Mathematics based on highly-cited papers in Web of Science.

The workshop will be held virtually via Zoom on Wednesday, 30th September 2020 from 12.30 to 16.00 (GMT+7).

Please click HERE to register.