📄 wishart.m
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function [px] = wishart(C,B,alpha,logoption)%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% [px] = wishart (C,B,alpha,logoption)%% computes k-dimensional Wishart propability density for C given% scale matrix B and shape parameter alpha%% alpha% |B| alpha-(k+1)/2% p(x)= ------------- |C| exp (-tr(BC))% Gamma (alpha)% k%%% if logoption is set to one, the log-propability is returned%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%if nargin<4, logoption=0;end;epsscale=100;k=size(B,1);% testing C for squareness, symmetry; testing positive-definiteness in% loop if size(C,1)~=k | size(C,2)~=k, error('C must be square'); end;N=size(C,3); % length of CCt=permute(C,[2 1 3]); % transpose Cif any(any(abs(reshape(C,k*k,N)-reshape(Ct,k*k,N))>epsscale*eps,1)==1) error('C must be symmetric');end;% testing B for squareness, singularity and symmetryif size(B,1)~=k | size(B,2)~=k, error('B must be square'); end;Bt=B';if any(B(:)~=Bt(:)), error('B must be symmetric'); end;if rank(B)~=k, error('B must be non-singular'); end;% testing for alpha 2*alpha > k-1if 2*alpha<=(k-1) error('alpha must be greater than (k-1)/2'); end;gammak=(k*(k-1)/4)*log(pi)+ sum(gammaln(alpha+.5-0.5*(1:k)));normconst=alpha*log(det(B))-gammak;px=zeros(N,1);for i=1:N, detC=det(C(:,:,i)); if detC<=0 error('C must be positive-definite'); end; px(i) = (alpha-0.5*(k+1))*log(detC) - trace(B*C(:,:,i));end;if logoption px=px+normconst;else px=exp(px+normconst);end;
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