how to simulate 10000 samples from a multinomial distribution with p1=0.5,p2=0.3p3=0.2
MATLAB: How to simulate 10000 samples from a multinomial distribution with p1=0.5,p2=0.3p3=0.2
MATLABmultinomial distribution matlab
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Your output is sometimes complex. You should fix this in your function, but you can also apply a quick fix here:
fplot(@(Lambda)abs(Steady_State(Lambda)))ylim([0 200])Ideally you should also make your function support vectorized inputs and deal with all the warnings (and suppress outputs by adding semicolons).
If you have Statistics and Machine Learning Toolbox, you can do this much easier, like:
% Transition matrix
trans = [...1 0 0 0 0;...0.3 0 0.7 0 0;...0 0.5 0 0.5 0;...0 0 0.6 0 0.4;...0 0 0 0 1];% To set the initial state to '2'
trans_hat = [...0 0 0 1 0 0;zeros(5,1) trans];emis = ones(6)/6;[~,states] = hmmgenerate(15,trans_hat,emis,...'Statenames',{'tmp','0','1','2','3','4'});% Show the result
figureplot(str2double(states),'o-')ylim([-0.2 4.2])yticks(0:4)xticks(0:15)
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