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贝叶斯普通最小二乘回归 (Bayesian OLS)

贝叶斯普通最小二乘回归 (Bayesian OLS) 将经典的线性回归似然函数与系数和误差方差的先验分布相结合。它不报告点估计,而是产生完整的后验分布,量化估计效应及其不确定性。当存在先验知识或样本量较小时,该方法尤其有价值。

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来源

  1. Zellner, A. (1971). An Introduction to Bayesian Inference in Econometrics. Wiley. ISBN: 978-0471169376
  2. Koop, G. (2003). Bayesian Econometrics. Wiley-Interscience. ISBN: 978-0470845677

如何引用本页

ScholarGate. (2026, June 3). Bayesian Ordinary Least Squares Regression. ScholarGate. https://scholargate.app/zh/econometrics/bayesian-ols

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被引用于

ScholarGateBayesian OLS (Bayesian Ordinary Least Squares Regression). 于 2026-06-15 检索自 https://scholargate.app/zh/econometrics/bayesian-ols · 数据集: https://doi.org/10.5281/zenodo.20539026