Browsing School of Pure and Applied Sciences by Subject "Functional time series"
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A residual-based bootstrap for functional autoregressions
(arXiv preprint, 2019)We consider the residual-based or naive bootstrap for functional autoregressions of order 1 and prove that it is asymptotically valid for, e.g., the sample mean and for empirical covariance operator estimates. As a crucial ...