The fundamental concepts of Bayesian statistics including estimation, prediction, hypothesis testing, and decision theory; time series analysis, including estimation and prediction based on ARIMA models; credibility theory including limited fluctuation, credibility theory and the Buhlmann-Straub model; several run-off techniques for estimating an outstanding claims reserve; and Monte Carlo techniques including the inverse transformation method, the polar method, and Monte Carlo integration.

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