-dimension, we propose a conditional variable screening test based on non-parametric regression using neural networks due to their … more generally a set of variables. Our test statistics are based on the estimated partial derivative of the regression … much predictors contribute additionally to the non-parametric regression after accounting for the latent factors. Our …

of a regression t - statistic in cases where the numerator is standard normal, but the denominator is √Q with Q an …

. Examples of such parameters include individual regression coefficients, average treatment effects, average lifts, and demand or … leading cases of estimation and inference on the main parameter in a partially linear regression model and estimation and …

This paper proposes a powerful alternative to the t-test of the null hypothesis that a coefficient in linear regression …. We propose a new maximal t-statistic that is formed from the regression of the outcome onto a maximally weighted linear …