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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/multinomial_prob.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/multinomial_prob.m')
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diff --git a/sourcecodes/bnt-master/KPMstats/multinomial_prob.m b/sourcecodes/bnt-master/KPMstats/multinomial_prob.m
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+function B = eval_pdf_cond_multinomial(data, obsmat)
+% EVAL_PDF_COND_MULTINOMIAL Evaluate pdf of conditional multinomial 
+% function B = eval_pdf_cond_multinomial(data, obsmat)
+%
+% Notation: Y = observation (O values), Q = conditioning variable (K values)
+%
+% Inputs:
+% data(t) = t'th observation - must be an integer in {1,2,...,K}: cannot be 0!
+% obsmat(i,o) = Pr(Y(t)=o | Q(t)=i)
+%
+% Output:
+% B(i,t) = Pr(y(t) | Q(t)=i)
+
+[Q O] = size(obsmat);
+T = prod(size(data)); % length(data);
+B = zeros(Q,T);
+
+for t=1:T
+  B(:,t) = obsmat(:, data(t));
+end