Credibility Theory - ACS 606

This course covers key topics in Statistical Inference, including parametric continuous and discrete distributions and their transformations, discrete and continuous mixtures of distributions, methods of parameter estimation, and goodness-of-fit tests. It also introduces fundamental concepts in Credibility Theory, such as limited fluctuation credibility, Bayesian credibility with discrete and continuous priors, Bühlmann and Bühlmann–Straub credibility, and Empirical Bayes credibility.