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View Code? Open in Web Editor NEWIntroduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)
Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)
Really nice post. I had to look at the code several times before I realized that the probability of sitting at table k
, which is n_k/(n+a)
, was smartly taken into account by organizing the problem as uniform picking from an array of table assignments. Perhaps other people see that directly, but it took me some time! Maybe you can spend a few more lines on that?
In the wiki, the colors of the balls in the urn are predefined and no new color is added in the procress. But in the code, new color is added to the urn under some circumstance. And the new color is sampled from G_0. However the G_0 in the code is not a distribution (not sum to 1).
When adding a new color, the code sample a new color by running unit_uniform = lambda { (rand * 100).to_i / 100.0 }
. The ratio is used as the identifer of the color. What is the relationship between the ratios?
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