-dimension, we propose a conditional variable screening test based on non-parametric regression using neural networks due to their … much predictors contribute additionally to the non-parametric regression after accounting for the latent factors. Our …

-dimension, we propose a conditional variable screening test based on non-parametric regression using neural networks due to their … much predictors contribute additionally to the non-parametric regression after accounting for the latent factors. Our …

potential and revisit this underutilized technique of FGA with a historical perspective. We explore a new non-parametric … regression method called Fractile Regression where we condition on the ranks of the covariate and compare it with existing …

potential and revisit this underutilized technique of FGA with a historical perspective. We explore a new non-parametric … regression method called Fractile Regression where we condition on the ranks of the covariate and compare it with existing …