Adaptive Testing for High-Dimensional Data

数学 检验统计量 学生化范围 估计员 应用数学 统计假设检验 协方差 规范(哲学) 统计 顺序统计量 标准差 政治学 法学
作者
Yangfan Zhang,Runmin Wang,Xiaofeng Shao
标识
DOI:10.1080/01621459.2024.2439617
摘要

In this article, we propose a class of Lq-norm based U-statistics for a family of global testing problems related to high-dimensional data. This includes testing of mean vector and its spatial sign, simultaneous testing of linear model coefficients, and testing of component-wise independence for high-dimensional observations, among others. Under the null hypothesis, we derive asymptotic normality and independence between Lq-norm based U-statistics for several qs under mild moment and cumulant conditions. A simple combination of two studentized Lq-based test statistics via their p-values is proposed and is shown to attain great power against alternatives of different sparsity. Our work is a substantial extension of He et al. (2021), which is mostly focused on mean and covariance testing, and we manage to provide a general treatment of asymptotic independence of Lq-norm based U-statistics for a wide class of kernels. To alleviate the computation burden, we introduce a variant of the proposed U-statistics by using the monotone indices in the summation, resulting in a U-statistic with asymmetric kernel. A dynamic programming method is introduced to reduce the computational cost from O(nqr), which is required for the calculation of the full U-statistic, to O(nr) where r is the order of the kernel. Numerical results further corroborate the advantage of the proposed adaptive test as compared to some existing competitors.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
好好完成签到,获得积分20
刚刚
123321发布了新的文献求助10
2秒前
无花果应助小超人采纳,获得10
4秒前
gdh发布了新的文献求助10
5秒前
Manxi发布了新的文献求助10
5秒前
5秒前
5秒前
甜甜玫瑰应助科研通管家采纳,获得10
5秒前
SciGPT应助科研通管家采纳,获得10
5秒前
田様应助科研通管家采纳,获得10
6秒前
Lucas应助科研通管家采纳,获得10
6秒前
6秒前
Jasper应助科研通管家采纳,获得10
6秒前
HAL应助科研通管家采纳,获得10
6秒前
6秒前
Maestro_S应助科研通管家采纳,获得10
6秒前
烟花应助科研通管家采纳,获得10
6秒前
爆米花应助科研通管家采纳,获得10
6秒前
甜甜玫瑰应助科研通管家采纳,获得10
6秒前
Maestro_S应助科研通管家采纳,获得10
7秒前
7秒前
科研通AI5应助科研通管家采纳,获得10
7秒前
HAL应助科研通管家采纳,获得10
7秒前
7秒前
7秒前
Maestro_S应助科研通管家采纳,获得10
7秒前
7秒前
nininidoc完成签到,获得积分10
8秒前
10秒前
zsgot3完成签到,获得积分10
10秒前
zy驳回了今后应助
11秒前
斯文明杰发布了新的文献求助10
11秒前
Iwan完成签到,获得积分10
11秒前
可爱的函函应助美好忆南采纳,获得10
12秒前
12秒前
Manxi完成签到,获得积分10
13秒前
光翟君完成签到,获得积分20
13秒前
超级的白竹完成签到,获得积分20
13秒前
14秒前
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Inherited Metabolic Disease in Adults: A Clinical Guide 500
计划经济时代的工厂管理与工人状况(1949-1966)——以郑州市国营工厂为例 500
Sociologies et cosmopolitisme méthodologique 400
Why America Can't Retrench (And How it Might) 400
Another look at Archaeopteryx as the oldest bird 390
Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS 3.0 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 催化作用 遗传学 冶金 电极 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 4633192
求助须知:如何正确求助?哪些是违规求助? 4029241
关于积分的说明 12466657
捐赠科研通 3715470
什么是DOI,文献DOI怎么找? 2050148
邀请新用户注册赠送积分活动 1081735
科研通“疑难数据库(出版商)”最低求助积分说明 964033