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stat.ME2026
Exponential Smoothing for Time Series of Random Objects
Takuo Matsubara, Peiwen Jiang, Wilson Ye Chen +1
Time series of random objects, such as covariance matrices, probability distributions, and functional data, call for forecasting methods that do not rely on standard arithmetic ope…
stat.ME2026
Wasserstein Exponential Smoothing for Distributional Time Series Forecasting
Takuo Matsubara, Peiwen Jiang, Minh-Ngoc Tran +1
Distributional time series arise when each temporal observation is a probability distribution rather than a scalar. We propose Wasserstein exponential smoothing (WES), a one-parame…