3 papers
stat.ME2025
Residual Distribution Predictive Systems
Sam Allen, Enrico Pescara, Johanna Ziegel
Conformal predictive systems are sets of predictive distributions with theoretical out-of-sample calibration guarantees. The calibration guarantees are typically that the set of pr…
stat.ME2025
Assessing the conditional calibration of interval forecasts using decompositions of the interval score
Sam Allen, Julia Burnello, Johanna Ziegel
Forecasts for uncertain future events should be probabilistic. Probabilistic forecasts are commonly issued as prediction intervals, which provide a measure of uncertainty in the un…
stat.ML2024
Efficient pooling of predictions via kernel embeddings
Sam Allen, David Ginsbourger, Johanna Ziegel
Probabilistic predictions are probability distributions over the set of possible outcomes. Such predictions quantify the uncertainty in the outcome, making them essential for effec…