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A copula is a multivariate distribution with uniform marginal distributions. Copulas are mostly used to represent or to model the structure of dependence between random variables, separately from the marginal distributions.
2
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1
answer
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What is the difference between elliptical Gaussian and multivariate Gaussian distributions?
I am reading about Metaelliptical copulas but I don't know the difference between elliptical Gaussian and multivariate Gaussian distributions I would appreciate if somebody can explain the difference …
5
votes
1
answer
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How to generate from the copula by inverse conditional cdf function of the copula?
) my question is this:
In the algorithm it says: "Generate i.i.d. observations from the copula with parameter theta (I can't use copularnd function because it only covers a few families). … If my copula is bi-variate like C(u,v, theta) how can I generate these i.i.d. observations? what will be my input to copula function?
Thanks …
4
votes
1
answer
516
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Are there any Goodness of fit tests for Vine copulas?
I know we can use gofCopula from copula package for bivariate, but how can we do it for higher dimensions or Vine copulas? …
6
votes
1
answer
7k
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Understanding tail dependence coefficients
How can I analyze the $\lambda_U$ and $\lambda_L$ results (estimated by non-parametric method)? What does higher or lower coefficients mean? Does $\lambda_U = 0.5$ mean there's some kind of linear dep …
5
votes
1
answer
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How to compute joint cdf of an empirical copula? (Updated with more info)
lets suppose a bivariate empirical copula as:
for a set of data of example data we can plot it like this:
How can we compute the joint cdf of this empirical copula which should like this:
Thank you …
2
votes
1
answer
219
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How do I prepare data which has a trend for use in a Copula model?
I want to use a set of daily water quality data including 3 parameters in a Copula model. … Can anybody help me in finding methods to prepare the data to use in a copula method? I would appreciate if you can refer me to good journal papers or books. …
3
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0
answers
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How to find a conditional probability using copula-based Markov process?
If there are methods other than copula-based Markov process that I can use please share it with me. … I used this paper as my reference: Chen, X., Fan, Y., 2006, Estimation of copula-based semiparametric time series models …
5
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2
answers
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What are $\rho$-, $\beta$-, and $\alpha$-mixing conditions?
We verify this condition for various parametric copula functions that are popular in applied work. …