Khoa Toán-Cơ-Tin-Tin học

This workshop provides a survey of the use of modern statistical techniques for actuarial and nancial
applications. There has been an increased interest in the use of data science to deliver predictive models
applicable in all areas of insurance and nancial security programs: life and health, property and casualty,
pensions. Such predictive models are generally used for improved decision making in: (1) delivering consumer
products that are nancially sound, (2) developing better relationships with consumers to meet their evolving
needs, and (3) evaluating sucient funding for promised bene ts from insurance and pension programs, to name
a few. We will conduct this workshop by introducing a little bit of the theory, but we will also simultaneously
incorporate practical case studies and how data and models can be analyzed using R.