Bayesian methodsBayesian / computational

带有测量误差的贝叶斯推断

带有测量误差的贝叶斯推断将标准的贝叶斯框架扩展到协变量或结果被噪声或错误分类观测到的情况。通过将真实未观测值视为潜在变量并为其分配先验，模型联合估计真实暴露分布和感兴趣的结构参数，并通过后验传播所有不确定性。

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带有测量误差的贝叶斯推断

Bayesian Regression 分层贝叶斯推断卡尔曼滤波器马尔可夫链蒙特卡洛 (MCMC)结构方程模型带测量误差的近似贝叶斯计算带测量误差的贝叶斯网络含测量误差的Gibbs采样 Hamiltonian Monte Carlo…含测量误差的MCMC

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来源

Carroll, R. J., Ruppert, D., Stefanski, L. A., & Crainiceanu, C. M. (2006). Measurement Error in Nonlinear Models: A Modern Perspective (2nd ed.). Chapman & Hall/CRC. ISBN: 978-1584886433
Richardson, S., & Gilks, W. R. (1993). A Bayesian approach to measurement error problems in epidemiology using conditional independence models. American Journal of Epidemiology, 138(6), 430–442. DOI: 10.1093/oxfordjournals.aje.a116875 ↗

如何引用本页

ScholarGate. (2026, June 3). Bayesian Inference with Measurement Error (Errors-in-Variables). ScholarGate. https://scholargate.app/zh/bayesian/bayesian-inference-with-measurement-error

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被引用于

带测量误差的近似贝叶斯计算带测量误差的贝叶斯网络含测量误差的Gibbs采样 Hamiltonian Monte Carlo with Measurement Error 含测量误差的MCMC 带测量误差的Metropolis-Hastings算法稳健近似贝叶斯计算带测量误差的序贯蒙特卡洛带测量误差的变分推断

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