Limited Fluctuation (Classical) Credibility, Bayesian analysis, Bühlmann and Bühlmann – Straub models and their relation to Bayesian model; conjugate priors in Bayesian analysis especially the Poisson-Gamma model; Empirical Bayesian methods in non-parametric and semi-parametric models. Simulation of discrete and continuous random variables using the inversion method; Estimation of the number of simulations needed to obtain an estimate with given confidence; Bootstrap method to estimate Mean Square Error (MSE) of an estimator. This course covers the remaining 40% of SOA exam C (Construction and Evaluation of Actuarial Models) and part of CT6 (Core Technical: Statistical Methods) exam of the Institute of Actuaries.