Normal model: prediction of the next observation in the context of a conjugate prior (known variance.)

The normal model: inference for the mean given the variance. Conjugate prior and resulting posterior. Combining information.

Sampling from the posterior predictive distribution.

Homework 2.

The Monte Carlo approximation: an iid sample from the posterior distribution allows us to compute just about any aspect of a posterior distribution. Examples.

Homework 1.