Comments for eng.kulanov.org.ua

Comment on Bayes’ Rule by Sergey Kulanov

Sergey Kulanov — Fri, 06 Aug 2010 17:08:16 +0000

Posterior=(likelihood*Prior)/evidence

Sergey Kulanov — Tue, 25 May 2010 06:05:04 +0000

Yet another approach:
A=full(sparse(sequence(1:end-1),sequence(2:end),1));
T=normalize(A,2);

admin — Tue, 25 May 2010 05:28:39 +0000

A new approach was found in markovFit() function from PMTK toolkit, please refer http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/Markov_models.html

admin — Mon, 19 Apr 2010 06:33:21 +0000

More elegant way was found from mk_stochastic function of BNT toolbox (Written by Kevin Murphy)

A=full(sparse(sequence(1:end-1),sequence(2:end),1));
Z = sum(A,2);
S = Z + (Z==0);
norm = repmat(S, 1, size(A,2));
A = A ./ norm;