What is bias stabilization?

Answer 1

Bias stabilization refers to the process of reducing or controlling bias in statistical estimates or predictions to ensure they are more accurate and reliable. This can involve techniques such as regularization, bootstrapping, or the use of ensemble methods to mitigate the effects of outliers or model overfitting. By stabilizing bias, analysts can improve the robustness of their models and enhance their generalizability to new data. Ultimately, the goal is to achieve more consistent and trustworthy results in data analysis.