The Bayesian approach
	• Consider a very simple linear model that only has two parameters: • It is possible to display the full posterior distribution over the two-dimensional parameter space. • The likelihood term is a Gaussian, so if we use a Gaussian prior the posterior will be Gaussian: – This is a conjugate prior. It means that the prior is just like having already observed some data.