MCFAM Seminar - Data Analytics Techniques with Actuarial Applications

Speaker: Marie-Claire Koissi-Kouassi, Ph.D., University of Wisconsin – EC

Abstract: Data analytics involve a large volume of data and advanced computational technics to handle this volume of information. For this talk, we will start with a brief presentation of several data analytics techniques, then discuss a few applications.  First, we will discuss emerging techniques for mortality modeling and forecasting. We will show an example with decision trees and neural network to efficiently model mortality improvement and gain in life expectancy.  Next, we will discuss emerging techniques for claim modeling, and for application we will use a regression tree on automobile claims data. Finally, we will talk about emerging techniques to detect insurance fraud. For illustration we will use Neural Network to detect insurance fraud.

MCFAM Seminar