Abstract:Re-sampling methods are popular for assessing uncertainty, testing hypotheses or for cross-validation because of their simplicity. They all rely on a similar scheme: generating replicated datasets by sampling data points from an original dataset, fitting a model or conducting a statistical test on each of these, and aggregating the results. However, when fitting the model or conducting the statistical test becomes time-consuming, re-sampling methods become impractical because of the many replications. Many met… Show more
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