Then, the PCA method is used for dimensionality reduction and reconstruction, and finally, the LSTM deep learning model with Bayesian optimized hyperparameters is used to achieve rolling time ...

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, public reviews, and a provisional response from the authors. In this meta-analysis, ...

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Unfortunately, because the weights and biases in Bayesian DL models are defined by a probability distribution, simple application of the aggregation methods associated with FL schemes for ...

This paper develops a novel method for policy choice in a dynamic setting where the available data is a multi-variate time series. Building on the statistical treatment choice framework, we propose ...