Shrinking the Sample Covariance Matrix using Convex Penalties on the Matrix-Log Transformation

David E. Tyler, Mengxi Yi

For $q$-dimensional data, penalized versions of the sample covariance matrix are important when the sample size is small or modest relative to $q$. Since the negative log-likelihoo…