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diff --git a/sourcecodes/bnt-master/BNT/examples/static/gaussian2.m b/sourcecodes/bnt-master/BNT/examples/static/gaussian2.m
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+% Make the following network (from Jensen (1996) p84 fig 4.17)
+%    1
+%  / | \
+% 2  3  4
+% |  |  |
+% 5  6  7
+%  \/ \/
+%  8   9
+% where all arcs point downwards
+
+
+N = 9;
+dag = zeros(N,N);
+dag(1,2)=1; dag(1,3)=1; dag(1,4)=1;
+dag(2,5)=1; dag(3,6)=1; dag(4,7)=1;
+dag(5,8)=1; dag(6,8)=1; dag(6,9)=1; dag(7,9) = 1;
+
+ns = [5 4 3 2 2 1 2 2 2]; % vector-valued nodes
+%ns = ones(1,9); % scalar nodes
+dnodes = [];
+
+bnet = mk_bnet(dag, ns, 'discrete', []);
+rand('state', 0);
+randn('state', 0);
+for i=1:N
+  bnet.CPD{i} = gaussian_CPD(bnet, i);
+end
+
+clear engine;
+engine{1} = gaussian_inf_engine(bnet);
+engine{2} = jtree_inf_engine(bnet);
+
+[err, time] = cmp_inference_static(bnet, engine);
+
+Nsamples = 100;
+samples = cell(N, Nsamples);
+for s=1:Nsamples
+  samples(:,s) = sample_bnet(bnet);
+end
+bnet2 = learn_params(bnet, samples);