Description: This abstract describes a paper that studies the relation between the two basic random events associated with human mortality: birth and death.

Description: This abstract describes a paper that improves upon current multivariate statistical models for predicting the pre-payment rate of reverse mortgages, which are heavily data-driven. The prosposed model extends a semi-Markovian joint-life mortality model to incorporate three main termination modes of reverse mortgages: death, long-term care LTC entry, and non-health related termination.

Description: This is the abstract of a paper that presents an iterative procedure for computing the lower approximation of the Snell envelope - a value process of the American option. The method produces an increasing sequence of approximations of the Snell envelope from below, which coincide with the Snell envelope in discrete time after finite steps. Advantages of this method compared with other well-known traditional approaches are discussed first. Then, elaborate algorithm details associated with theoretical proofs are discussed. An example of constructing the lower approximation is available with numerical results, which are demonstrated in figures. Some characteristics of the implementation in the computational environment and an improvement are mentioned at the end.

Description: This abstract describes a paper that considers a general risk model in which both the claim and income gain arrivals follow Poisson processes.

Description: This abstract describes a presentation that gives an in-depth look at genetic algorithms - what they are, why they are important for actuaries, when to use them, and how to create them.

Description: This is the Health and Social Care Analysis Regarding the State of Canadian Women Living in the Alone Stage of Retirement paper authored by Douglas W. Andrews and Lori Curtis for Session 4B of the January 13-15, 2020 Living to 100 Symposium in Orlando, Florida.

Description: This abstract describes a paper that investigates how to apply a stochastic mortality model in the presence of missing data, using 'multiple imputation'.