A unified self-normalized testing framework for relevant (thresholded) hypotheses in functional time series, valid under arbitrary sparse-to-dense sampling with measurement error.
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Unified theory of testing relevant hypotheses in functional time series
A unified self-normalized testing framework for relevant (thresholded) hypotheses in functional time series, valid under arbitrary sparse-to-dense sampling with measurement error.