Description: This article discusses how to handle semisupervised data. This type of data might have a large number of observations, yet a small number of labels.

Description: Feature article discussing the ways artificial intelligence will influence the actuarial field.

Description: Chairperson's column for the May 2019 issue of Predictive Analytics & Futurism.

Description: Actuaries can empower their understanding of policyholder behavior with third party data. Modeling policyholder behavior should start from developing knowledge of who they are, instead of actuaries assuming what a rational behavior should be.

Description: Feature article describing how exponential technologies will affect the actuarial profession.

Description: This article explores the use of Generalized Additive Models and Multivariate Adaptive Regression Splines to model nonlinear relationships in a linear response model. These models use supervised methods to determine the optimal shape of the predictors in the model. Users are provided an example use case so that they may get started right away building models to explore complex relationships in new ways.

Description: High level overview on how to implement a risk adjustment chart chase program.

Description: This article summarizes the SOA 1995-2000 Mortality Study.

Description: This article reviews the topics discussed at the December 2004 meeting of the Life and Health Actuarial task force. The covered topics include Actuarial Guideline 38 and Reserves for Variable Annuities C-3 Phase 2 reserves.

Description: This article discusses a recently completed RGA in-depth study that looked at assumptions and experience for lapses and mortality at the end of the level premium period for level term business.