Bayesian Transfer Learning for Enhanced Estimation and Inference
贝叶斯迁移学习：面向高维线性回归的估计与推断改进
Transfer learning enhances model performance in a target population with limited samples by leveraging knowledge from related studies. While many works focus on improving predictive performance, challenges of statistical inference persist. Bayesian approaches naturally offer uncertainty quantification for parameter estimates, yet existing Bayesian transfer learning methods are typically limited to single-source scenarios or require individual-level data. We introduce…