The article compares different methods for estimating the determinant of a high-dimensional covariance matrix. The researchers tested eight methods and found interesting differences in their performance. They also provided practical guidelines for choosing the best method based on sample size, dimension, and data correlation. This comparison study helps assess how well these methods estimate the covariance matrix.