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First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. Q2: Please summarize your review in 1-2 sentences very nice, could become new standard, provided some guidance on choosing b is provided, and demonstration that performance is robust to this choice of b, and accuracy is not so much worse than cross-validation. First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. The authors propose a novel bias-corrected estimator of covariance matrices for autocorrelated data. They provide simulated data as well as a real-world data set on brain-computer interfacing to demonstrate the superior performance of their estimator in comparison to a standard-, a shrinkage-, and the Sancetta estimator.