Bayesian Methods for Analysing Historic Data

Predictive_conditional_density_webThis project will concern (Bayesian) models for the survival time of historic populations.  Such models can provide interesting historical insights.  For example, we can understand how survival times have increased across the centuries and how they differ between sexes.  In this project will will  develop  survival analysis methodology for populations for which good data are available, such as popes, monarchs and presidents. Results will be compared with actuarial tables, wherever possible.
Supervisor: Dr Julian Stander

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