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view toolboxes/FullBNT-1.0.7/KPMstats/student_t_logprob.m @ 0:cc4b1211e677 tip
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646 (e263d8a21543) added further path and more save "camirversion.m"
author | Daniel Wolff |
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date | Fri, 19 Aug 2016 13:07:06 +0200 |
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function L = log_student_pdf(X, mu, lambda, alpha) % LOG_STUDENT_PDF Evaluate the log of the multivariate student-t distribution at a point % L = log_student_pdf(X, mu, lambda, alpha) % % Each column of X is evaluated. % See Bernardo and Smith p435. k = length(mu); assert(size(X,1) == k); [k N] = size(X); logc = gammaln(0.5*(alpha+k)) - gammaln(0.5*alpha) - (k/2)*log(alpha*pi) + 0.5*log(det(lambda)); middle = (1 + (1/alpha)*(X-mu)'*lambda*(X-mu)); % scalar version L = logc - ((alpha+k)/2)*log(middle);