119 citations · 207 across the 15 of their papers we have counts for
8 papers · 1 filter
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…
Improving Efficiency of Tests for Composite Null Hypotheses
Yotam Leibovici, Yair Goldberg
The goal of mediation analysis is to study the effect of exposure on an outcome interceded by a mediator. Two simple hypotheses are tested: the effect of the exposure on the mediat…
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…
Semiparametric Analysis of the Proportional Likelihood Ratio Model and Omnibus Estimation Procedure
Yair Goldberg, Malka Gorfine
We provide a semi-parametric analysis for the proportional likelihood ratio model, proposed by Luo & Tsai (2012). We study the tangent spaces for both the parameter of interest and…
Hoeffding-Type and Bernstein-Type Inequalities for Right Censored Data
Yair Goldberg
We present Hoeffding-type and Bernstein-type inequalities for right-censored data. The inequalities bound the difference between an inverse of the probability of censoring weightin…
Self-reporting and screening: Data with current-status and censored observations
Jonathan Yefenof, Yair Goldberg, Jennifer Wiler +2
We consider survival data that combine three types of observations: uncensored, right-censored, and left-censored. Such data arises from screening a medical condition, in situation…