Restrict Estimates to the Possible Values?

Restricting estimates to the parameter space does not eliminate impossible values: zero-likelihood values must also be ruled out.For unbounded models with likelihoods never zero, this suggests ruling out values with extremely small likelihoods.which would rule out James-Stein and Shrinkage estimators.Restriction to a space that is not closed and convex can be inappropriate.