Markov Chain Monte Carlo Methods
0. A fundamental theorem of simulation
1. Markov chain basics
2. Slice sampling
3. Gibbs sampling
4. Metropolis-Hastings algorithms
5. Variable dimension models and reversible jump MCMC
6. Perfect sampling
7. Adaptive MCMC and population Monte Carlo