3 papers
stat.ME2026
Online forecast reconciliation using linear models
Tobias Rønlev-Knudsen, Henrik Madsen, Jan Kloppenborg Møller
We present a framework for online and adaptive forecasting and hierarchical reconciliation using linear regression models. We begin by formalizing hierarchies using graphs, and mot…
stat.AP2025
evalprob4cast: An R-package for evaluation of ensembles as probabilistic forecasts or event forecasts
Mathias Blicher Bjerregård, Jethro Browell, John Zack +4
For any forecasting application, evaluation of forecasts is an important task. For example, in the field of renewable energy sources there is high variability and uncertainty of po…
cs.LG2025
nabqr: Python package for improving probabilistic forecasts
Bastian Schmidt Jørgensena, Jan Kloppenborg Møller, Peter Nystrup +1
We introduce the open-source Python package NABQR: Neural Adaptive Basis for (time-adaptive) Quantile Regression that provides reliable probabilistic forecasts. NABQR corrects ense…