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conformalForecast: An R package for sequential conformal prediction in time series

Wang, Xiaoqian et al.
arXiv (All) · Papers
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applicationscomputationmethodology
Reliable uncertainty quantification is central to modern forecasting. Conformal prediction offers model-agnostic intervals with coverage guarantee under exchangeability, but existing software often targets general prediction problems or individual time series procedures rather than integrated workfl
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