Optimising prediction error among completely monotone covariance sequences
Ross S McVinish, Queensland University of Technology
Abstract
We provide a characterisation of Gaussian time series which optimise the one-step prediction error subject to the covariance sequence being completely monotone with the first m covariances specified.
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