On statistical inference with parameter estimates on the boundary of the parameter space

Inadmissible estimates, like negative variance estimates, frequently occur when a theoretical covariance matrix is fitted to a sample covariance matrix. When this happens, it is common practice to re‐estimate subject to non‐negativity constraints and to count the ensuing zeros as true zeros. We derive conditions under which this approach has a valid frequentist interpretation.