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Introduction to Copulas
Rating: 4.5 out of 5(124 ratings)
1,186 students

Introduction to Copulas

By MJ the Fellow Actuary
Created byMichael Jordan
Last updated 7/2022
English
English [Auto],

What you'll learn

  • Theory behind Copulas

Course content

2 sections12 lectures1h 4m total length
  • Introduction to Copulas12:47

    Examine copulas as mathematical objects that transform marginals into a joint distribution using generator functions and their inverses, illustrating independent, Gumbel, and normal copulas.

  • Sklar's Theorem2:08
  • Survival Copula1:18

    Explore survival copulas, linking marginal survival functions to a joint survival function, and show copulas need not be limited to cumulative distribution functions.

  • Frechet and Hoeffding Boundary Copulas7:26

    Correction*

    Minimum Copula is Upper Bound.

    Maximum Copula is Lower Bound.

  • Archimedean Copulas6:23
  • Gumbel Copula4:20
  • Frank Copula3:06

    Explore the frank copula, a generator-based copula with an alpha parameter. It has no upper or lower tail dependency, and extreme alpha values yield maximum or minimum copulas.

  • Clayton Copula3:37

    Explore the Clayton copula and its two-parameter generator with alpha and beta, including alpha=1 reducing to the gumballs copula and beta=0 yielding tail dependencies.

  • Gaussian and Student t Copula5:25

Requirements

  • Mathematical Statistics

Description

This course is designed primarily for Actuarial Students writing exam SP9 and CS2.

The focus of these videos is on the theory rather than the application.

We look at the following

  • Sklar's Theorem

  • Survival Copulas

  • Frechet & Hoeffding Boundary Copulas

  • Archimedean Copulas

  • Generator Functions

  • Gumbel Copula

  • Frank Copula

  • Clayton Copula

  • Gaussian and Student t Copula

We focus on the generator functions and the dependency structure.

We don't look at any R code or real life applications.


Who this course is for:

  • Actuarial and Statistical Students