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بوت استرپ بیزی (روبین)×بوت استرپ دوگانه (تکراری)×
حوزهآمارآمار
خانوادهRegression modelRegression model
سال پیدایش19811986
پدیدآورRubin (1981); large-sample theory by Lo (1987)Hall (1986); Beran (1987)
نوعResampling / posterior simulationResampling calibration (nested bootstrap)
منبع بنیادینRubin, D. B. (1981). The Bayesian Bootstrap. The Annals of Statistics, 9(1), 130-134. DOI ↗Hall, P. (1986). On the Bootstrap and Confidence Intervals. Annals of Statistics, 14(4), 1431-1452. DOI ↗
نام‌های دیگرBayesian Bootstrap (Rubin), Rubin bootstrap, Dirichlet-weighted bootstrapiterated bootstrap, nested bootstrap, calibrated bootstrap, Çift Bootstrap (Double / Iterated Bootstrap)
مرتبط55
خلاصهThe 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.The double bootstrap is a resampling method that calibrates a bootstrap confidence interval with a second, nested layer of bootstrap to bring its actual coverage closer to the nominal level. Introduced by Hall (1986) and Beran (1987), it is especially valuable for small samples and skewed distributions where a single-layer bootstrap under-covers.
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ScholarGateمقایسهٔ روش‌ها: Bayesian Bootstrap · Double Bootstrap. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare