why would we need to weaken priors to fit a model why are a prior fit model useful what is a prior for a model can i first fit a Bayesian model why does a model of a frequentist need informative priors does the model need a priors prior to fitting what is the earliest we can fit a model in jars when can you weaken priors in a bayesian model? why do you need priors for a model why are Bayesian models first fit or weaker priors when to refit a model with informative priors how do i fit a bayesian model when to weaken a prior why is it ok to fit a bayesian model first and then begin weakening priors? why fit a bayesian model with an informative prior do you refit a model with informative priors when to weaken priors or uninformative for a model why would you do first fit priors how to fit priors in a bayesian model why should i first fit a model and then weaken priors?