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A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques
A huge amount of statistical methods for massive data computation have been rapidly developed in the past decades.
Hyperparameter Selection for Subsampling Bootstraps
In this article we develop a hyperparameter selection methodology, which can be used to select tuning parameters for subsampling methods.
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