JSTOR Daily

Group bound: confidence intervals for groups of variables in sparse high dimensional regression without assumptions on the design

This is a preview. Log in through your library . Abstract It is in general challenging to provide confidence intervals for individual variables in high dimensional regression without making strict or ...
JSTOR Daily

Saddlepoint Approximations of Marginal Densities and Confidence Intervals in the Logistic Regression Measurement Error Model

This is a preview. Log in through your library . Abstract We illustrate that the saddlepoint approximation can lead to accurate inference in the logistic regression ...