3 papers
math.ST2024
Bivariate Matrix-valued Linear Regression (BMLR): Finite-sample performance under Identifiability and Sparsity Assumptions
Nayel Bettache
This study explores the estimation of parameters in a matrix-valued linear regression model, where the responses and predictors $(X_…
math.ST2023
Two-sided Matrix Regression
Nayel Bettache, Cristina Butucea
The two-sided matrix regression model aims at predicting by taking into account both linear links between column features of , via the unknown matrix …
math.ST2021
Fast Non-Asymptotic Testing And Support Recovery For Large Sparse Toeplitz Covariance Matrices
Nayel Bettache, Cristina Butucea, Marianne Sorba
We consider independent -dimensional Gaussian vectors with covariance matrix having Toeplitz structure. We test that these vectors have independent components against a stat…