It sounds like you're talking about just using the maximum likelihood estimator (with a special likelihood) which is similar to using a flat (improper) prior. One disadvantage of doing so is that the results aren't invariant to reparameterization of the problem. The latter problem can be fixed by using Jeffreys' priors. However, the MLE is very effective in its own right.