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Multivariate gamma function

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In mathematics, the multivariate Gamma function, Γp(·), is a generalization of the Gamma function. It is useful in multivariate statistics, appearing in the probability density function of the Wishart and Inverse Wishart distributions.

It has two equivalent definitions. One is

where S>0 means S is positive-definite. The other one, more useful in practice, is

From this, we have the recursive relationships:

Thus

and so on.

Derivatives

We may define the multivariate digamma function as

and the general polygamma function as

Calculation steps

  • Since
it follows that
it follows that

References

  • James, A. (1964). "Distributions of Matrix Variates and Latent Roots Derived from Normal Samples". Annals of Mathematical Statistics. 35 (2): 475–501. doi:10.1214/aoms/1177703550. MR 0181057. Zbl 0121.36605.