Exact and Robust Conformal Inference Methods for Predictive Machine Learning With Dependent Data

We extend conformal inference to general settings that allow for time series data. Our proposal is developed as a randomization method and accounts for potential serial dependence by including block structures in the permutation scheme... (read more)

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