A fast procedure for calculating importance weights in bootstrap sampling
نویسندگان
چکیده
منابع مشابه
A fast procedure for calculating importance weights in bootstrap sampling
Importance sampling is an efficient strategy for reducing the variance of certain bootstrap estimates. It has found wide applications in bootstrap quantile estimation, proportional hazards regression, bootstrap confidence interval estimation, and other problems. Although estimation of the optimal sampling weights is a special case of convex programming, generic optimization methods are frustrat...
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ژورنال
عنوان ژورنال: Computational Statistics & Data Analysis
سال: 2011
ISSN: 0167-9473
DOI: 10.1016/j.csda.2010.04.019