Covers the concept of events and tribes in probability theory, emphasizing the importance of defining valid tribes and their role in modeling random experiments.
Explores Bayesian techniques for extreme value problems, including Markov Chain Monte Carlo and Bayesian inference, emphasizing the importance of prior information and the use of graphs.
