Upcoming chapters

Other topics which are covered in the course, but the corresponding chapters are not yet online and are to appear:

Topic	Status
Surrogates	✔️ Done
Neural networks with Flax	✔️ Done
Bayesian neural networks	⬜ To do
So, why Numpyro?	⬜ To do
Variational inference	⬜ To do
Introduction to deep generative models	⬜ To do
Variational autoencoders (VAEs), normalising flows (NFs)	⬜ To do
Deep generative surrogates and PriorCVAE	⬜ To do
Simulation-based inference	⬜ To do

Further interesting topics which the course might not have time to cover (but I might add them to the online version in the future):

• Bayesian regularisation from optimisation perspective

• Laplace approximation

• Bayesian optimisation

• Active learning

• Renewal equation

• Hilbert Space Gaussian Process approximation (HSGP)