Permutation and randomization tests. Use of ranks and randomization; robustness. Bayesian inference:
Predictive distributions. Bayesian estimates and intervals for parameters and predictions. Monte Carlo
simulation of the posterior distribution. Decision Theory. Comparative inference: choosing good
estimators, tests and confidence intervals including classical, Bayesian and non-parametric methods.
