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Likelihood as Goodness-of-Fit Metric by Dan Rogers

Average log-likelihood is a good way to measure how well distributions fit a set of data. Using the average (instead of the raw log-likelihood corrects for errors in the more commonly used BIC and AIC measures. It also has an intuitive meaning that is explained in this paper.