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Bayesian inference for large-scale regression models (Course material)

This is some of the material I cover for my course on Bayesian methods for large-scale regressions at the Queen Mary, University of London. Topics are the following:

The syllabus contains:

  • Introduction to Bayesian model selection
  • Hierarchical shrinkage priors
  • Bayesian variable selection
  • Bayesian model averaging
  • Bayesian inference for generalised linear models

The material include slides and some Matlab codes for the tutorials.

Hope you will find this useful

Daniele