3 papers
cs.AI2026
Concerning Uncertainty -- A Systematic Survey of Uncertainty-Aware XAI
Helena Löfström, Tuwe Löfström, Anders Hjort +1
This paper surveys uncertainty-aware explainable artificial intelligence (UAXAI), examining how uncertainty is incorporated into explanatory pipelines and how such methods are eval…
stat.AP2026
pintervals: an R package for model-agnostic prediction intervals
David Randahl, Anders Hjort, Jonathan P. Williams
The \pkg{pintervals} package aims to provide a unified framework for constructing prediction intervals and calibrating predictions in a model-agnostic setting using set-aside calib…
stat.ML2025
Uncertainty quantification in automated valuation models with spatially weighted conformal prediction
Anders Hjort, Gudmund Horn Hermansen, Johan Pensar +1
Non-parametric machine learning models, such as random forests and gradient boosted trees, are frequently used to estimate house prices due to their predictive accuracy, but a main…