方法证据记录
Bayesian Network with Measurement Error
A Bayesian network with measurement error is a probabilistic directed acyclic graphical model in which one or more node variables are observed with error rather than exactly. Latent true-value nodes are introduced for mismeasured variables, and the model jointly infers the network's conditional probability parameters and the unobserved true values from the noisy observations.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Bayesian Network with Measurement Error (Errors-in-Variables Graphical Model)
分类方法记录 · bayesian / bayesian
- Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann. · ISBN 978-1558604797
- 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. · URL
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