Tutorial on Approximate Bayesian Inference using INLA


This is a direct application of the Integrated Nested Laplacian Approximation (INLA) framework for approximate Bayesian inference. In this tutorial we examined math achievement scores (MathAchieve in the MEMSS library) across schools and individuals as a hierarchical regression problem.

See the knitted RMarkdown notebook here.

We discussed the motivations for different priors and worked on fully utilizing the Initial Data Examination (IDE) as a crucial step to inform modelling choices.