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Wasserstein Exponential Smoothing for Distributional Time Series Forecasting

This story is from 2026-08-24. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2606.05560v2 Announce Type: replace-cross Abstract: Distributional time series arise when each temporal observation is a probability distribution rather than a scalar. We propose Wasserstein exponential smoothing (WES), a one-parameter recursive forecasting method for distributional time seri…

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  1. 2026-08-24 04:00 · arXiv stat.ML
    Wasserstein Exponential Smoothing for Distributional Time Series Forecasting

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