自助抽样可以根据收集的样本推断总体的统计特征 (如均值、十分位数、置信区间)。泊松自助抽样（Poisson Bootstrap Sampling）是一种用于统计分析中的 ...

Bagging is a common ensemble method that uses bootstrap sampling 3. Random forest is an enhancement of bagging that can improve variable selection. We will start by explaining bagging and then ...

This paper is about the asymptotic distribution of linear combinations of stratum means in stratified sampling, with and without replacement. Both the number of strata and their size is arbitrary.

Many have suggested a bootstrap procedure for estimating the sampling variability of principal component analysis (PCA) results. However, when the number of measurements per subject (p) is much larger ...

In other words, the bootstrap sample is too random—the returns are independent from one another. In reality, that’s not an accurate description of market behavior.

A recipient of a 2005 National Medal of Science for his contributions to theoretical and applied statistics, especially the bootstrap sampling technique, he was awarded the Guy Medal in Gold by the ...

They concluded that bootstrap confidence intervals work as well as Bayesian intervals concerning average coverage probability. Additionally, bootstrap confidence intervals appear to be better for ...

We will give an example of how bootstrap sampling can be applied to a regression problem to allow us to make inference on the data when normal assumptions for more traditional methods are not met.