Summary: Seasonal forecasts often rely on probabilistic guidance derived from conditional distributions tied to the initial state of the Earth System. Yet their practical utility becomes challenging ...

Implementation of the Bregman-Correntropy divergence on conditional distributions. Article: Measuring the Discrepancy between Conditional Distributions: Methods ...

Abstract: Neural networks for estimating conditional distributions and their associated quantiles are investigated in this paper. A basic network structure is developed on the basis of kernel ...

Gaussian Mixture Models are a classic clustering technique, that can easily be generalised to, for example, semi-supervised learning. Sometimes we need to compute closed-form expressions for the ...