📄 mc_sample_endstate.m
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function S = sample_mc_endstate(startprob, trans, endprob)% SAMPLE_MC_ENDSTATE Generate a random sequence from a Markov chain until enter the endstate.% seq = sample_mc(startprob, trans, endprob)% add an end stateQ = size(trans,1);transprob = zeros(Q,Q+1);end_state = Q+1;for i=1:Q for j=1:Q transprob(i,j) = (1-endprob(i)) * trans(i,j); end transprob(i,end_state) = endprob(i); %assert(approxeq(sum(transprob(i,:)), 1))end S = [];S(1) = sample_discrete(startprob);t = 1;p = endprob(S(t));stop = (S(1) == end_state);while ~stop S(t+1) = sample_discrete(transprob(S(t),:)); stop = (S(t+1) == end_state); t = t + 1;endS = S(1:end-1); % don't include end state
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