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Multivariate gamma function

In mathematics, the multivariate Gamma distribution, \Gamma_p(\cdot), is a generalization of the Gamma function. It is useful in multivariate statistics.

It has two equivalent definitions:

\Gamma_p(a)= \int_{S\in {\mathbf S}} \exp\left( -{\rm trace}(S)\right) \left|S\right|^{a-(p+1)/2} dS

where {\mathbf S} is the set of all positive-definite matrices. The other is more useful in practice:

\Gamma_p(a)= \pi^{p(p-1)/4}\Pi_{j=1}^p \Gamma\left[ a+(1-j)/2\right].

Thus

  • Γ1(a) = Γ(a)
  • Γ2(a) = π1 / 2Γ(a)Γ(a - 1 / 2)
  • Γ3(a) = π3 / 2Γ(a)Γ(a - 1 / 2)Γ(a - 1)

and so on.

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