Bounds on accountable deviance in Generalized Linear Models

The quality of fit in Generalized Linear Models (GLMs) is usually quantified by the deviance, or twice the negative log-likelihood. When there’s a high level of noise in the data, it’s difficult to interpret the deviance directly; the lower bound for the deviance doesn’t take into account noise, and is much too low. I had … More Bounds on accountable deviance in Generalized Linear Models