PI: Dimitris N Politis · University of California, San Diego
Bootstrap hypothesis testing methods for time series - we are trying to compute the rejection probabilities of our hypothesis testing method as a measure of their efficacy. This requires generating several samples of time series for a given sample size and hyperparameter specification and running our test repeatedly to compute the empirical rejection probability. This is done over several sample sizes and hyperparameter specs.
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Cumulative usage · Jul 2, 2025 – Jul 2, 2026
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