Bayesian Temporal Factorization for Multidimensional Time Series Prediction

Short summary

A new Bayesian temporal factorization (BTF) framework models multidimensional time series, like spatiotemporal data, by integrating low-rank factorization and vector autoregressive processes, enabling probabilistic predictions and uncertainty estimates without imputing missing values.

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