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: ...

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 ...