Ongoing Research
J. Rombouts and I. Wilms, Monitoring machine learning forecasts for platform data streams, arXiv:2401.09144.
N. Berlanger, N. van Ophoven, T. Verdonck and I. Wilms, Tree-based forecasting of day-ahead solar power generation from granular meteorological features, arXiv:2312.00090
V. Nesrstová, I. Wilms, K. Hron and P. Filzmoser, Identifying important pairwise logratios in compositional data with sparse principal component analysis, arXiv:2311.13911
R. Adamek, S. Smeekes and I. Wilms, Sparse high-dimensional vector autoregressive bootstrap, arXiv:2302.01233
A. Hecq, M. Ternes, and I. Wilms, Hierarchical regularizers for reverse unrestricted mixed data sampling regressions, arXiv:2301.10592
L. Barbaglia, C. Croux and I. Wilms, Detecting anti-dumping circumvention: a network approach, arXiv: 2207.05394