PML and CML
Hi everybody, I am still dealing with Garch-Copula models, and I was wondering about the difference between the Canonical Maximum Likelihood (CML) method and the Pseudo Maximum Likelihood (PML) method. I think that these are two terms for the same method, namely the method which firstly transform the marginal distributions into uniform ones using the empirical cumulative distribution function of each of them and then plugs these estimators into the log-likelihood function which has to be maximized. Could you confirm there is no difference between CML and PML ? Thanks. Regards, Ludovic -- View this message in context: http://r.789695.n4.nabble.com/PML-and-CML-tp4649740.html Sent from the Rmetrics mailing list archive at Nabble.com.