I am estimating the parameters of a gaussian mixture model in a Bayesian framework. So I need the prior probabilities of the parameters which I am going to estimate. I am using uniform priors for the parameters (mean, covariance etc) . So according to the Bayes formula, I need the value of P(mean) for computations.
Hence I would like to know what value to take for P(mean) i.e, uniform prior probability of mean.