Detecting distributional differences in labeled sequence data with application to tropical cyclone satellite imagery
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Publication:6104110
DOI10.1214/22-aoas1668arXiv2202.02253OpenAlexW4367598646MaRDI QIDQ6104110
Galen Vincent, Ann B. Lee, Trey McNeely, Rafael Izbicki, Kimberly M. Wood
Publication date: 5 June 2023
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2202.02253
high-dimensional time seriesfunctional dataweather forecastingremote sensingtwo-sample testingassociation studies
Cites Work
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- Bootstrap methods for dependent data: a review
- Bootstraps for time series
- Does terrorism trigger online hate speech? On the association of events and time series
- On the power of conditional independence testing under model-X
- Global and local two-sample tests via regression
- Classification accuracy as a proxy for two-sample testing
- Panning for Gold: ‘Model-X’ Knockoffs for High Dimensional Controlled Variable Selection
- The Conditional Permutation Test for Independence While Controlling for Confounders
- Bootstrap Methods for Markov Processes
- Gene hunting with hidden Markov model knockoffs
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