3 papers
stat.ME2025
Nonparametric Envelopes for Flexible Response Reduction
Tate Jacobson
Envelope methods improve the estimation efficiency in multivariate linear regression by identifying and separating the material and immaterial parts of the responses or the predict…
stat.ME2025
Envelope-Guided Regularization for Improved Prediction in High-Dimensional Multivariate Regression
Tate Jacobson, Oh-Ran Kwon
Envelope methods perform dimension reduction of predictors or responses in multivariate regression, exploiting the relationship between them to improve estimation efficiency. While…
math.ST2024
Strong Oracle Guarantees for Partial Penalized Tests of High Dimensional Generalized Linear Models
Tate Jacobson
Partial penalized tests provide flexible approaches to testing linear hypotheses in high dimensional generalized linear models. However, because the estimators used in these tests…