Ines Wilms

According to our database, Ines Wilms authored at least 10 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

bootUR: An <i>R</i> Package for Bootstrap Unit Root Tests.

Stephan Smeekes, Ines Wilms

J. Stat. Softw., 2023

Tree-based Forecasting of Day-ahead Solar Power Generation from Granular Meteorological Features.

Nick Berlanger, Noah van Ophoven, Tim Verdonck, Ines Wilms

CoRR, 2023

2022

Hierarchical Regularizers for Mixed-Frequency Vector Autoregressions.

Alain Hecq, Marie Ternes, Ines Wilms

J. Comput. Graph. Stat., October, 2022

Graphical Influence Diagnostics for Changepoint Models.

Ines Wilms, Rebecca Killick, David S. Matteson

J. Comput. Graph. Stat., July, 2022

Tree-based Node Aggregation in Sparse Graphical Models.

Ines Wilms, Jacob Bien

J. Mach. Learn. Res., 2022

Sparse regression for large data sets with outliers.

Lea Bottmer, Christophe Croux, Ines Wilms

Eur. J. Oper. Res., 2022

2020

High Dimensional Forecasting via Interpretable Vector Autoregression.

William B. Nicholson, Ines Wilms, Jacob Bien, David S. Matteson

J. Mach. Learn. Res., 2020

2017

Cellwise robust regularized discriminant analysis.

Stephanie Aerts, Ines Wilms

Stat. Anal. Data Min., 2017

2016

The predictive power of the business and bank sentiment of firms: A high-dimensional Granger Causality approach.

Ines Wilms, Sarah Gelper, Christophe Croux

Eur. J. Oper. Res., 2016

Robust sparse canonical correlation analysis.

Ines Wilms, Christophe Croux

BMC Syst. Biol., 2016