Description: This paper outlines a statistical modeling framework for fitting mortality laws to mortality experience data. The process can be used as an alternative to traditional graduation techniques used in mortality table development.

Description: This practical guide provides actuaries who develop tables from experience data with a statistical modeling framework that can be used as an alternative to traditional graduation techniques.

Description: An ‘R file’ with sample R code that essentially produces the modelling and graphing found in the report A Practitioner’s Guide to Statistical Mortality Graduation

Description: Process risk, estimation error, model uncertainty, trend risk and catastrophe risk are the five main components of longevity risk uncertainty. In the face of this daunting uncertainty, what should the actuarial practitioner do? This session focuses on assessing model uncertainty, process risk and estimation error in mortality modeling. Besides discussing the theory behind methods for performing the assessment, presenters provide attendees with practical examples using R to help them in applying the methodologies and concepts presented.