Bayesian methodsBayesian / computational
含测量误差的贝叶斯模型平均
含测量误差的贝叶斯模型平均（BMA-ME）结合了两个概率思想：它根据各回归模型的后验概率对来自竞争模型的预测进行平均，同时考虑了其中一个或多个预测变量是带有随机误差而非精确观测的事实。其结果是，在每一次推断和预测中，都同时传播了模型不确定性和协变量测量噪声的后验分布。
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来源
- Hoeting, J. A., Madigan, D., Raftery, A. E., & Volinsky, C. T. (1999). Bayesian model averaging: A tutorial. Statistical Science, 14(4), 382-417. link ↗
- Carroll, R. J., Ruppert, D., Stefanski, L. A., & Crainiceanu, C. M. (2006). Measurement Error in Nonlinear Models: A Modern Perspective (2nd ed.). CRC Press. ISBN: 978-1584886334
如何引用本页
ScholarGate. (2026, June 3). Bayesian Model Averaging with Measurement Error Correction. ScholarGate. https://scholargate.app/zh/bayesian/bayesian-model-averaging-with-measurement-error
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 贝叶斯模型平均 (Bayesian Model Averaging, BMA)贝叶斯↔ compare
- Bayesian Regression贝叶斯↔ compare
- 马尔可夫链蒙特卡洛 (MCMC)贝叶斯↔ compare