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University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Spectra of Sample Auto-Covariance Matrices
Spectra of Sample Auto-Covariance MatricesAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Mustapha Amrani. Periodic and Ergodic Spectral Problems This work is based on R. Khn and P. Sollich 2012 EPL 99 20008 doi:10.1209/0295-5075/99/20008 In this paper we compute spectra of sample auto-covariance matrices of stationary time series. The central result amounts to a generalization of Szeg”os theorem for spectra of Toeplitz matrices to the case with randomness due to finite sample effects. While the related problem of sample covariance matrices is well understood since the work of Marcenkov and Pastur, very little has been known about the sample auto-covariance problem. This talk is part of the Isaac Newton Institute Seminar Series series. This talk is included in these lists:Note that ex-directory lists are not shown. |
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