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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.AP2024
The 2023/24 VIEWS Prediction Challenge: Predicting the Number of Fatalities in Armed Conflict, with Uncertainty
HÃ¥vard Hegre, Paola Vesco, Michael Colaresi +37
This draft article outlines a prediction challenge where the target is to forecast the number of fatalities in armed conflicts, in the form of the UCDP `best' estimates, aggregated…