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Scalable Subsampling Inference for Deep Neural Networks
Beyond point estimation/prediction, we propose different approaches to build confidence and prediction intervals based on the subagged DNN estimator.
GARHCX-NoVaS: A Model-free Approach to Incorporate Exogenous Variables
In this work, we further explore the forecasting ability of a recently proposed normalizing and variance-stabilizing (NoVaS) transformation after wrapping exogenous variables.
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