TRADER is a source-guided horseshoe prior that shrinks target coefficients toward a weighted average of rescaled source estimates, improving posterior contraction and frequentist coverage in high-dimensional regression.
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Bayesian Transfer Learning for Enhanced Estimation and Inference
TRADER is a source-guided horseshoe prior that shrinks target coefficients toward a weighted average of rescaled source estimates, improving posterior contraction and frequentist coverage in high-dimensional regression.