Risk Modelling and Survival Analysis (CS2)
Risk Modelling and Survival Analysis (CS2) builds on CS1. It develops knowledge of and the ability to apply statistical methods for risk modelling, time series analysis methods, stochastic processes (especially Markov chains and Markov jump processes), survival analysis (including regression methods applied to duration data), and graduation methods It also includes a high-level introduction to machine learning. The subject includes both theory and application of the ideas to real data sets using R.
Material in this subject is applied to actuarial modelling in subjects CM1 and CM2.
You must sit A + B papers in the same session.