Exercise 1 - Fundamentals
Exercise 2 - Prior and Posterior
Exercise 3 - Poisson Model
Exercise 4 - Normal Model
Exercise 5 - Gibbs Sampler
Exercise 6 - Hierarchical Model and Censored Data
Exercise 7 - Multivariate Normal Model
Exercise 8 - Bayesian Linear Regression
Exercise 9 - Metropolis-Hasting Algorithm