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Functional data analysis and applications in mortality and risk selection

PhD Studentship – This project has now been completed. It's objective was to further investigate the applications of FDA in Actuarial Science and to develop statistical methodologies and theories suitable for the problems arising from this area, focusing particularly on mortality and risk selection

The project contributes to the study of dynamic relationship between mortality rates and other factors (such as age, occupation, smoking status, location), discovery of the most important factors affecting mortality, heterogeneity in life-tables, prediction of long term trend of mortality, modelling and prediction of claim occurrence, clustering of different relationships between claim risk and other factors (nutrition, education, social class), etc.

ARC scholar:  Ruhao Wu
University: University of Leicester
Period of research: October 2012 – January 2017
This project has now been completed

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