1 citations · 1 across the 2 of their papers we have counts for
3 papers
math.ST2023★ 1 cited
A zero-estimator approach for estimating the signal level in a high-dimensional regression setting
Ilan Livne
Analysis of high-dimensional data, where the number of covariates is larger than the sample size, is a topic of current interest. In such settings, an important goal is to estimate…
math.ST2022
A zero-estimator approach for estimating the signal level in a high-dimensional model-free setting
Ilan Livne, David Azriel, Yair Goldberg
We study a high-dimensional regression setting under the assumption of known covariate distribution. We aim at estimating the amount of explained variation in the response by the b…
math.ST2021
Improved Estimators for Semi-supervised High-dimensional Regression Model
Ilan Livne, David Azriel, Yair Goldberg
We study a linear high-dimensional regression model in a semi-supervised setting, where for many observations only the vector of covariates is given with no response . We do…