方法证据记录
Robust Bayesian Inference
Robust Bayesian inference extends standard Bayesian analysis by replacing a single prior distribution with a class of plausible priors and examining how much the posterior conclusions change across that class. Instead of committing to one prior, the analyst bounds the posterior quantity of interest, revealing whether findings are stable or critically dependent on prior assumptions.
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。
Robust Bayesian Inference
分类方法记录 · bayesian / bayesian
- Berger, J. O. (1990). Robust Bayesian analysis: sensitivity to the prior. Journal of Statistical Planning and Inference, 25(3), 303–328. · DOI 10.1016/0378-3758(90)90079-A
- Insua, D. R. & Ruggeri, F. (Eds.) (2000). Robust Bayesian Analysis. Springer. · ISBN 978-0387988665
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