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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/dirichlet_sample.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/dirichlet_sample.m')
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diff --git a/sourcecodes/bnt-master/KPMstats/dirichlet_sample.m b/sourcecodes/bnt-master/KPMstats/dirichlet_sample.m
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+function theta = dirichlet_sample(alpha, N)
+% SAMPLE_DIRICHLET Sample N vectors from Dir(alpha(1), ..., alpha(k))
+% theta = sample_dirichlet(alpha, N)
+% theta(i,j) = i'th sample of theta_j, where theta ~ Dir
+
+% We use the method from p. 482 of "Bayesian Data Analysis", Gelman et al.
+
+assert(alpha > 0);
+k = length(alpha);
+theta = zeros(N, k);
+scale = 1; % arbitrary
+for i=1:k
+  %theta(:,i) = gamrnd(alpha(i), scale, N, 1);
+  theta(:,i) = gamma_sample(alpha(i), scale, N, 1);
+end
+%theta = mk_stochastic(theta);
+S = sum(theta,2); 
+theta = theta ./ repmat(S, 1, k);