Mathematics
a year ago
New priors revolutionize normal mean matrix estimation, outperforming maximum likelihood.
1 view
Paper Summary
The article explores ways to estimate a normal mean matrix more accurately. By creating new types of priors, the researchers improved the estimators used in this process. These new priors help reduce the errors in the estimations by shrinking certain values towards zero. The researchers found that these improved estimators outperform the traditional methods in terms of accuracy.