Quantile estimation lies at the heart of statistical modelling when characterising the distributional properties of data beyond central tendency. By estimating the pth quantile—namely the value below ...
Selecting fitted models under epistemic uncertainty using a stochastic process on quantile functions
Fitting models to data is an important part of the practice of science. Advances in machine learning have made it possible to fit more—and more complex—models, but have also exacerbated a problem: ...
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