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authorziejd22018-03-14 23:23:33 -0500
committerGitHub2018-03-14 23:23:33 -0500
commit1ff6baa44e22b91eefb48aea6f3befa078c0489b (patch)
treee0fd79d2e32fd2aedda2eadaed0f19af3514c520 /sourcecodes/bnt-master/KPMstats/matrix_normal_pdf.m
parent6882395afdadf4e982b25b5215071a0932730950 (diff)
parentc80226899f5cdd9f11c163817d59445213f5bef0 (diff)
downloadBNW-1ff6baa44e22b91eefb48aea6f3befa078c0489b.tar.gz
Merge pull request #1 from ziejd2/octave_php_separate
Octave php separate
Diffstat (limited to 'sourcecodes/bnt-master/KPMstats/matrix_normal_pdf.m')
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diff --git a/sourcecodes/bnt-master/KPMstats/matrix_normal_pdf.m b/sourcecodes/bnt-master/KPMstats/matrix_normal_pdf.m
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+function p = matrix_normal_pdf(A, M, V, K)
+% MATRIX_NORMAL_PDF Evaluate the density of a matrix under a Matrix-Normal distribution
+% p = matrix_normal_pdf(A, M, V, K)
+
+% See "Bayesian Linear Regression", T. Minka, MIT Tech Report, 2001
+
+[d m] = size(K);
+c = det(K)^(d/2) / det(2*pi*V)^(m/2);
+p = c * exp(-0.5*tr((A-M)'*inv(V)*(A-M)*K));