85 citations · 137 across the 8 of their papers we have counts for
3 papers · 1 filter
On the Calibration of Isotonic Distributional Regression
Tobias Biegert, Johannes Resin, Alexander Jordan +1
Isotonic distributional regression (IDR) has recently been proposed as a non-parametric technique for probabilistic forecasting via the estimation of conditional distributions unde…
Evaluating Probabilistic Classifiers: The Triptych
Timo Dimitriadis, Tilmann Gneiting, Alexander I. Jordan +1
Probability forecasts for binary outcomes, often referred to as probabilistic classifiers or confidence scores, are ubiquitous in science and society, and methods for evaluating an…
Evaluating probabilistic classifiers: Reliability diagrams and score decompositions revisited
Timo Dimitriadis, Tilmann Gneiting, Alexander I. Jordan
A probability forecast or probabilistic classifier is reliable or calibrated if the predicted probabilities are matched by ex post observed frequencies, as examined visually in rel…