Conditional Mean and Conditional Variance for Two Bivariate Parametric Copulas
Huanwen Tang
Abstract
Huanwen Tang
Abstract
This paper obtains the basic properties of the density functions and derives the conditional means and conditional variances for the well-known Farlie-Gumbel-Morgenstern and Gumbel-Hougaard bivariate parametric copulas whose marginals are standard uniform distribution U(0,1).In addition,this paper compares and expresses their corresponding figures of the conditional means and conditional variances with different parameter values.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This paper obtains the basic properties of the density functions and derives the conditional means and conditional variances for the well-known Farlie-Gumbel-Morgenstern and Gumbel-Hougaard bivariate parametric copulas whose marginals are standard uniform distribution U(0,1).In addition,this paper compares and expresses their corresponding figures of the conditional means and conditional variances with different parameter values.
Key concepts: Conditional variance, Gumbel distribution, Conditional probability distribution, Bivariate analysis, Mathematics, Copula (linguistics), Econometrics, Conditional expectation