方法证据记录
Bayesian Bootstrap
The Bayesian Bootstrap, introduced by Donald B. Rubin in 1981, is a resampling method that produces a Bayesian counterpart to the frequentist bootstrap by assigning each observation a random weight drawn from a Dirichlet distribution. It yields a full posterior distribution for a statistic and allows prior information to be incorporated.
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。
Rubin's Bayesian Bootstrap
分类方法记录 · regression-model / statistics
- Rubin, D. B. (1981). The Bayesian Bootstrap. The Annals of Statistics, 9(1), 130-134. · DOI 10.1214/aos/1176345338
- Lo, A. Y. (1987). A Large Sample Study of the Bayesian Bootstrap. The Annals of Statistics, 15(1), 360-375. · DOI 10.1214/aos/1176350271
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