📄 getscalelike.m
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% function scaleLik = getScaleLike(G,u)%% Computes the log likelihood resulting from the log% prior on u_k's, which have a log-normal distribution.function scaleLik = getScaleLike(G,u)scaleLik=0;if G.uType==1 scaleLik=0;elseif G.uType==2 LOGSQRT2PI = log(sqrt(2*pi)); logSigma = log(G.w); twoSigma2Inv = (1/2)*(1./(G.w.^2)); u=u(:); %% in case using CPM2 for jj=1:length(u) newTerm = lognormpdf(log(u(jj)),0,logSigma,... twoSigma2Inv,LOGSQRT2PI,G.numBins); scaleLik = scaleLik + newTerm; end %% this is the other term I forgot from the log normal!!! (Aug 21,2006) scaleLik = scaleLik -sum(log(u));endreturn;
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