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The quantile varying coefficient model is robust to data heterogeneity, outliers and heavy-tailed distributions in the response variable. In addition, it can flexibly model dynamic patterns of ...
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Communicating the “significance” of statistics in scientific research is often plagued by the fact that the everyday usage of “significant” is very different than the technical meaning of that term.
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 ...
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