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Outcome-Calibrated Regression and Predicted Outcome-Based Inference

Hwiyoung Lee · Shuo Chen首次提交 2026-05-28 · 修订 2026-05-28 · v1arXiv预印本

结果校准回归与基于预测结果的推断AI 解读

Regression is a fundamental tool in scientific research. Ordinary least squares (OLS), one of the most widely used regression methods, enjoys several desirable properties, including the best linear unbiased estimator (BLUE) property. It is well known that, under the assumptions of the standard model, the OLS is conditionally unbiased given the covariates, i.e., $\mathbb{E}(\widehat Y-Y\mid X=x)=0$ . However, an often-overlooked property of OLS is that the prediction error is…Regression is a fundamental tool in scientific research. Ordinary least squares (OLS), one of the most widely used regression methods, enjoys several desirable properties, including the best linear unbiased estimator (BLUE) property. It is well known that, under the assumptions of the standard model, the OLS is conditionally unbiased given the covariates, i.e., $\mathbb{E}(\widehat Y-Y\mid X=x)=0$. However, an often-overlooked property of OLS is that the prediction error is…

因果推断

关联记录被引 0 次 ↗OpenAlex · 核验 2026-10-01

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