Upcoming chapters

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

• Surrogates

• Neural networks with Flax

• Bayesian neural networks

• So, why Numpyro?

• Variational inference

• Introduction to deep generative models

• Variational autoencoders (VAEs), normalising flows (NFs)

• Deep generative surrogates and PriorCVAE

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)