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  "Title": "Nonparametric Estimation of Toeplitz Covariance Matrices",
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  "Description": "A nonparametric method to estimate Toeplitz covariance\nmatrices from a sample of n independently and identically\ndistributed p-dimensional vectors with mean zero. The data is\npreprocessed with the discrete cosine matrix and a variance\nstabilization transformation to obtain an approximate Gaussian\nregression setting for the log-spectral density function.\nEstimates of the spectral density function and the inverse of\nthe covariance matrix are provided as well. Functions for\nsimulating data and a protein data example are included. For\ndetails see (Klockmann, Krivobokova; 2023), <arXiv:2303.10018>.",
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