how do i calculate dispersions with an empirical mle? how does glm integrating priors compare with mle what is the difference between bayes and mle what is the difference between mle and glm what is the difference between the Bayesian mle and the glm? how to estimate a distribution in gamma fractal logistic regression how to estimate dispersion parameter by empirical how to calculate dispersion parameter how do you calculate the dispersion parameter from the mle what is phi in a linear model what is the prior of a mle? how do you estimate a mean parameter using a bayes when integrating posteriors on means of a glm what is the relationship why use a bayes glm how to estimate dispersion parameter in glm when you use empirical bayes, how much do you need to beta prior on the regression how do you estimate the dispersion parameter how does a prior estimate dispersion what is the difference between a Bayesian GLM and an MLE what is the difference between a mle and glm