Last change
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[37] | 1 | function p = wishpdf(varargin)
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| 2 | %WISHPDF Wishart probability density function.
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| 3 | % WISHPDF(X,A) returns the density at X under a Wishart distribution with
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| 4 | % shape parameter A and unit scale parameter.
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| 5 | % X is a positive definite matrix and A is scalar.
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| 6 | % WISHPDF(X,A,B) specifies the scale parameter of the distribution (a
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| 7 | % positive definite matrix with the same size as X).
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| 8 | %
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| 9 | % The probability density function has the form:
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| 10 | % p(X) = |X|^(a-(d+1)/2)*exp(-tr(X*B))*|B|^a/Gamma_d(a)
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| 11 | % where Gamma_d is the multivariate Gamma function.
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| 12 | %
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| 13 | % WISHPDF(X,A,B,'inv') returns the density at X under an inverse Wishart
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| 14 | % distribution. The probability density function for an inverse Wishart is:
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| 15 | % p(X) = |X|^(-a-(d+1)/2)*exp(-tr(inv(X)*B))*|B|^a/Gamma_d(a)
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| 16 |
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| 17 | % Written by Tom Minka
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| 18 | % (c) Microsoft Corporation. All rights reserved.
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| 19 |
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| 20 | p = exp(wishpdfln(varargin{:}));
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