Regression for Actuaries (RegAct)
Learn how to perform a mathematical analysis of likelihood functions in a regression modeling context.
Course description
Content
- Multiple linear regression and least squares methods.
- Generalized linear models.
- Survival regression models.
- Nonlinear effects and basis expansions.
- Parametric, semiparametric and nonparametric likelihood methods.
- Aspects of practical regression analysis in R.
Recommended academic qualifications
StatMet and MStat (alternatively MatStat from previous years) or similar
Academic qualifications equivalent to a BSc degree is recommended.
Location
Faculty of Science
Department of Mathematical Science
Universitetsparken 5
DK-2100 Copenhagen
