High Dimensional Data and Data Sciences

You will find below our recent publications in high dimensional data and data sciences.


Journal Articles


1. Lederer, Johannes; von Sachs, Rainer. Simultaneous estimation of stable parameters for multiple autoregressive processes from datasets of nonuniform sizes. In: Journal of Time Series Analysis, (2025). (Accepté/Sous presse). http://hdl.handle.net/2078.1/295090

2. Nezakati Rezazadeh, Ensiyeh; Pircalabelu, Eugen. Estimation and inference in sparse multivariate regression and conditional Gaussian graphical models under an unbalanced distributed setting. In: Electronic Journal of Statistics, Vol. 18, no.1, p. 599-652 (2024). doi:10.1214/23-EJS2193. http://hdl.handle.net/2078.1/285769

3. Jacquemain, Alexandre; Heuchenne, Cédric; Pircalabelu, Eugen. A penalised bootstrap estimation procedure for the explained Gini coefficient. In: Electronic Journal of Statistics, Vol. 18, no.1, p. 247-300 (2024). doi:10.1214/23-EJS2200. http://hdl.handle.net/2078.1/284898

4. Nezakati Rezazadeh, Ensiyeh; Pircalabelu, Eugen. Unbalanced distributed estimation and inference for the precision matrix in Gaussian graphical models. In: Statistics and Computing, Vol. 33, p. 47 (2023). doi:10.1007/s11222-023-10211-9. http://hdl.handle.net/2078.1/276497

5. Pircalabelu, Eugen; Claeskens, Gerda. Linear manifold modeling and graph estimation based on multivariate functional data with different coarseness scales. In: Journal of Computational and Graphical Statistics, Vol. 32, no. 2, p. 378-387 (2023). doi:10.1080/10618600.2022.2108818. http://hdl.handle.net/2078.1/264877