Department of Finance

  • Center for Statistics

Kontor: SOL/A4.27
Primære forskningsområder

(Mixed frequency data) econometrics, (robust) statistical learning methods


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Udvalgte publikationer

Babii A., Ball R., Ghysels, E., Striaukas, J. (2022+) "Machine learning panel data regressions with heavy-tailed dependent data: theory and application", forthcoming at Journal of Econometrics

Babii A., Ball R., Ghysels, E., Striaukas, J.(2022) Machine learning time series regressions with an application to nowcasting, Journal of Business & Economic Statistics, 40, 1094–1106. 

Publikationer sorteret efter:
Andrii Babii; Ryan T. Ball; Eric Ghysels; Jonas Striaukas / Machine Learning Panel Data Regressions with Heavy-Tailed Dependent Data : Theory and Application.
I: Journal of Econometrics, Vol. 237, Nr. 2, 12.2023
Tidsskriftartikel > peer review
Matthias Weber; Jonas Striaukas; Martin Schumacher; Harald Binder / Regularized Regression When Covariates are Linkes on a Network : The 3CoSE Algortihm.
I: Journal of Applied Statistics, Vol. 50, Nr. 3, 2023, s. 535-554
Tidsskriftartikel > peer review
Jonas Striaukas / Estimation and Inference for High Dimensional Time Series Data Models
Louvain : Universite Catholique de Louvain 2022, 180 s.
Andrii Babii; Eric Ghysels; Jonas Striaukas / High-dimensional Grander Causality Tests with an Application to VIX and News
I: Journal of Financial Econometrics, 4.7.2022
Tidsskriftartikel > peer review
Andrii Babii; Eric Ghysels; Jonas Striaukas / Machine Learning Time Series Regressions With an Application to Nowcasting
I: Journal of Business and Economic Statistics, Vol. 40, Nr. 3, 2022, s. 1094-1106
Tidsskriftartikel > peer review
  • 15/06/2022 – 28/09/2022 — Trainee, National Bank of Belgium. Project title: “Machine Learning Based Nowcasting Model for National Bank of Belgium and Euro Area”, Belgium