Probability forecasts for binary outcomes, often referred to as probabil...
How can we quantify uncertainty if our favorite computational tool - be ...
Model diagnostics and forecast evaluation are two sides of the same coin...
Point process models are widely used tools to issue forecasts or assess
...
A probability forecast or probabilistic classifier is reliable or calibr...
We consider different types of predictive intervals and ask whether they...
For practical reasons, many forecasts of case, hospitalization and death...
Throughout science and technology, receiver operating characteristic (RO...
Isotonic distributional regression (IDR) is a powerful nonparametric
tec...
Receiver operating characteristic (ROC) curves are used ubiquitously to
...
Scoring rules serve to quantify predictive performance. A scoring rule i...
Scoring rules serve to quantify predictive performance. A scoring rule i...
In the practice of point prediction, it is desirable that forecasters re...