Skip to main content
grasp.study
About
Explore
Pricing
Log in
Try it for free
Back to course
👋
Welcome to a Grasp lesson
Create a free account
to keep studying and create your own study path.
CS2: Risk Modeling and Survival Analysis
·
Module 10
Copulas and Dependence Modeling
1
Introduction to Copulas and Sklar's Theorem
Define a copula and state Sklar's theorem to describe dependence structures.
2
Exploring Common Copula Families
Describe properties of common copula families (e.g., Gaussian, Clayton, Gumbel).
3
Copulas and Rank Correlation
Relate copula parameters to rank correlation measures (Kendall's tau, Spearman's rho).
4
Bivariate Copula Fitting with MLE
Fit a copula to bivariate data using maximum likelihood estimation.
5
Simulating Dependent Random Variables with Copulas
Simulate dependent random variables using a chosen copula model.
6
Copulas for Dependent Insurance Risks
Apply copulas to model and quantify dependent insurance risks.
Previous module
Modeling Insurance Losses
Next module
Collective Risk and Ruin Theory