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Onderzoeker
Ines Wilms
- Disciplines:Toegepaste wiskunde, Statistische en numerieke methoden, Toegepaste economie
Affiliaties
- Onderzoeksgroep Operations Research and Statistics, Leuven (Onderzoeksgroep)
Lid
Vanaf1 sep 2012 → 30 sep 2020
Projecten
1 - 2 of 2
- Schatting van hoog dimensionale econometrische modellen voor meerdere klassenVanaf1 okt 2016 → 1 sep 2018Financiering: FWO mandaten
- Sobere en robuuste schatting van vector autoregressieve modellen met toepassingen in de marketing en economie.Vanaf1 okt 2012 → 30 sep 2016Financiering: FWO mandaten
Publicaties
1 - 10 van 18
- Volatility spillovers in commodity markets: A large t-vector autoregressive approach(2020)
Auteurs: Luca Barbaglia, Christophe Croux, Ines Wilms
- Multi-class vector autoregressive models for multi-store sales data(2018)
Auteurs: Ines Wilms, Luca Barbaglia, Christophe Croux
Pagina's: 435 - 452 - An algorithm for the multivariate group lasso with covariance estimation(2018)
Auteurs: Ines Wilms, Christophe Croux
Pagina's: 668 - 681 - An algorithm for the multivariate group lasso with covariance estimation(2018)
Auteurs: Ines Wilms, Christophe Croux
Pagina's: 668 - 681 - Cellwise robust regularized discriminant analysis(2017)
Auteurs: Stéphanie Aerts, Ines Wilms
Pagina's: 436 - 447 - Interpretable vector autoregressions with exogenous time series(2017)
Auteurs: Ines Wilms, S Basu, J Bien, DS Matteson
Pagina's: 1 - 5Aantal pagina's: 5 - Forecasting using sparse cointegration(2016)
Auteurs: Ines Wilms, Christophe Croux
Pagina's: 1256 - 1267 - Robust sparse canonical correlation analysis(2016)
Auteurs: Ines Wilms, Christophe Croux
Pagina's: 1 - 13 - The predictive power of the business and bank sentiment of firms: a high-dimensional granger causality approach(2016)
Auteurs: Ines Wilms, Sarah Gelper, Christophe Croux
Pagina's: 138 - 147 - Commodity dynamics: a sparse multi-class approach(2016)
Auteurs: Luca Barbaglia, Ines Wilms, Christophe Croux
Pagina's: 62 - 72