Multivariate probability distribution

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beman
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"In multivariate probability distribution higher-order cumulants contain information of decreasing significance, unlike higher-order moments".
 
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For normal distributions cumulants above those of second order vanish, which pretty much means they don't contribute much information.
 
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In multivariate probability distribution the first two cumulants are the means and covariances.Higher-order cumulants contain information of decreasing significance, unlike higher-order moments.We cannot set all moments higher than a certain order equal to zero since E(X^2n)>=E(X^n)^2 and thus,all moments contain information about
the lower moments.
 
beman said:
In multivariate probability distribution the first two cumulants are the means and covariances.Higher-order cumulants contain information of decreasing significance, unlike higher-order moments.We cannot set all moments higher than a certain order equal to zero since E(X^2n)>=E(X^n)^2 and thus,all moments contain information about
the lower moments.

Again - for normal distributions, cumulants of order higher than two are zero: it isn't decreasing significance, it is no significance.