Description: There are many ways to manage a long-term care closed block of policies but some of the common ones are rate increases, enhancement of claim practices and helping policyholders to remain independent and thriving at home.

Description: Overview of market research plan to test consumer interest in 2 new LTC finance options which emerged from the most recent Society of Actuaries' LTC Think Tank

Description: Describes benefits of updating homes for aging in place. Calls for stakeholders coalition of: building & tech sectors, LTCI, homecare, health insurance & care.

Description: Discussion of ways direct marketers have beaten recessions in the recent past and suggestions for beating this recession.

Description: All we need is … a §401k - redesigned to • Leverage the fungibility of money • Consolidate to a lifetime, all-in-one plan • Create liquidity without leakage

Description: Summary of the reasons behind our section name change; and a short description of each of the articles in this issue.

Description: In this article, we will overview some popular tree-based models and understand how such models may be applied to the insurance industry.

Description: In An Introduction to Incremental Learning, by Qiang Wu and I describe how machine learning is a natural enhancement to predictive analytics through its many useful tools to derive meaning from a lot of otherwise unusable data such as handwriting. Again, there are formulas involved; but we have tried to keep them understandable to the actuary who isn’t already familiar with stochastic gradient descent, perceptrons, and principal component analysis. Incremental learning can help you refine the estimations you derive from more traditional actuarial methods.

Description: The article introduces the concept of overfitting in predictive modeling and illustrates how it hinders our ability to predict new data well.

Description: This article discusses techniques used to create risk scores to help determine appropriate primary care panel sizes for a provider organization.