Bonus Malus System: Transition Probabilities

Covers applied probability, stochastic processes, Markov chains, rejection sampling, and Bayesian inference methods.

Explores Markov chain games, hitting probabilities, and expected hitting times in a target set.

Covers stochastic models for communications, focusing on random variables, Markov chains, Poisson processes, and probability calculations.

Covers the theory and applications of Markov chains in modeling random phenomena and decision-making under uncertainty.

Explores risk evaluation, equivalent value, and insurance premium in lotteries, as well as discount rate adjustments.