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stat.ME2021
A linear adjustment based approach to posterior drift in transfer learning
Subha Maity, Diptavo Dutta, Jonathan Terhorst +2
We present a new model and methods for the posterior drift problem where the regression function in the target domain is modeled as a linear adjustment (on an appropriate scale) of…
stat.ME2014★ 1 cited
Valid post-correction inference for censored regression problems
Yuekai Sun, Jonathan E. Taylor
Two-step estimators often called upon to fit censored regression models in many areas of science and engineering. Since censoring incurs a bias in the naive least-squares fit, a tw…