Central limit theorems (CLTs) have a long history in probability and
sta...
Risk assessments to help inform criminal justice decisions have been use...
We provide an alternate unified framework for conformal prediction, whic...
Least squares linear regression is one of the oldest and widely used dat...
We consider first order expansions of convex penalized estimators in
hig...
We consider least squares estimation in a general nonparametric regressi...
Ordinary least squares (OLS) linear regression is one of the most basic
...
We consider estimation and inference in a single index regression model ...