Hi, I've been trying to understand how the UR algorithm works and I think I have a general idea. But I would like to have a *mathematical description* of the step in which the LLR comes into play. In the CCO presentations I have found it says:
(PtP) compares column to column using *log-likelihood based correlation test* However, I have searched for "log-likelihood based correlation test" in google but no joy. All I get are explanations of the likelihood-ratio test to compare two models. I would very much appreciate a math explanation of log-likelihood based correlation test. Any pointers to papers or any other literature that explains this specifically are much appreciated. Best regards, Noelia
