192 citations · 1.1k across the 46 of their papers we have counts for
4 papers · 1 filter
Tight conditions for consistency of variable selection in the context of high dimensionality
Laëtitia Comminges, Arnak Dalalyan
We address the issue of variable selection in the regression model with very high ambient dimension, that is, when the number of variables is very large. The main focus is on the s…
Curve registration by nonparametric goodness-of-fit testing
Olivier Collier, Arnak S. Dalalyan
The problem of curve registration appears in many different areas of applications ranging from neuroscience to road traffic modeling. In the present work, we propose a nonparametri…
Sharp Oracle Inequalities for Aggregation of Affine Estimators
Arnak Dalalyan, Joseph Salmon
We consider the problem of combining a (possibly uncountably infinite) set of affine estimators in non-parametric regression model with heteroscedastic Gaussian noise. Focusing on…
Tight conditions for consistent variable selection in high dimensional nonparametric regression
Laëtitia Comminges, Arnak Dalalyan
We address the issue of variable selection in the regression model with very high ambient dimension, i.e., when the number of covariates is very large. The main focus is on the sit…