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dca/cov_util.py

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@@ -471,7 +471,7 @@ def calc_pi_from_cross_cov_mats(cross_cov_mats, proj=None):
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def calc_block_toeplitz_logdets(cross_cov_mats, proj=None):
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"""Calculates logdets which can be used to calculate predictive information or entropy
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for a spatiotemporal Gaussian process with T-1 N-by-N cross-covariance matrices using
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for a spatiotemporal Gaussian process with T N-by-N cross-covariance matrices using
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the block-Toeplitz algorithm.
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