一类分层输入在加权重要性采样下的随机一致逼近
概率论
2025-11-27 v2
摘要
我们考虑了一类分层输入在加权重要性采样下的随机偏差。我们在一类分层采样下给出了加权形式的期望 偏差() 上界。这一结果有助于加权重要性采样下积分逼近上界的误差估计，且我们的采样模式是一种分层输入。
引用
@article{arxiv.2505.09312,
title = {Random uniform approximation under weighted importance sampling of a class of stratified input},
author = {Jun Xian and Xiaoda Xu},
journal= {arXiv preprint arXiv:2505.09312},
year = {2025}
}
备注
The author of this article is entirely written by Xiaoda Xu, and Jun Xian did not participate in the writing of this paper. After consultation, Professor Jun Xian agreed to remove his name and therefore requests withdrawal of the manuscript