Ines Wilms

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Sparse outlier-robust PCA for multi-source data.
Stat. Comput.
Patricia Puchhammer, Ines Wilms, Peter Filzmoser
2025 J jnl
Fast Forecasting of Unstable Data Streams for On-Demand Service Platforms.
Inf. Syst. Res.
Yu (Jeffrey) Hu, Jeroen V. K. Rombouts, Ines Wilms
2024 J jnl
Clusterpath Gaussian Graphical Modeling.
CoRR
Daniel J. W. Touw, Andreas Alfons, Patrick J. F. Groenen, Ines Wilms
2024 J jnl
Robust Matrix Completion for Discrete Rating-Scale Data.
CoRR
Aurore Archimbaud, Andreas Alfons, Ines Wilms
2023 J jnl
Tree-based Forecasting of Day-ahead Solar Power Generation from Granular Meteorological Features.
CoRR
Nick Berlanger, Noah van Ophoven, Tim Verdonck, Ines Wilms
2023 J jnl
bootUR: An
J. Stat. Softw.
Stephan Smeekes, Ines Wilms
2022 J jnl
Graphical Influence Diagnostics for Changepoint Models.
J. Comput. Graph. Stat.
Ines Wilms, Rebecca Killick, David S. Matteson
2022 J jnl
Hierarchical Regularizers for Mixed-Frequency Vector Autoregressions.
J. Comput. Graph. Stat.
Alain Hecq, Marie Ternes, Ines Wilms
2022 J jnl
Sparse regression for large data sets with outliers.
Eur. J. Oper. Res.
Lea Bottmer, Christophe Croux, Ines Wilms
2022 J jnl
Tree-based Node Aggregation in Sparse Graphical Models.
J. Mach. Learn. Res.
Ines Wilms, Jacob Bien
2020 J jnl
High Dimensional Forecasting via Interpretable Vector Autoregression.
J. Mach. Learn. Res.
William B. Nicholson, Ines Wilms, Jacob Bien, David S. Matteson
2017 J jnl
Cellwise robust regularized discriminant analysis.
Stat. Anal. Data Min.
Stephanie Aerts, Ines Wilms
2016 J jnl
Robust sparse canonical correlation analysis.
BMC Syst. Biol.
Ines Wilms, Christophe Croux
2016 J jnl
The predictive power of the business and bank sentiment of firms: A high-dimensional Granger Causality approach.
Eur. J. Oper. Res.
Ines Wilms, Sarah Gelper, Christophe Croux