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Superpopulation model inference for non probability samples under informative sampling with high-dimensional data 高维数据信息抽样下非概率样本的超群模型推断
IF 0.8 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2024-04-04 DOI: 10.1080/03610926.2024.2335543
Zhan Liu, Dianni Wang, Yingli Pan
Non probability samples have been widely used in various fields. However, non probability samples suffer from selection biases due to the unknown selection probabilities. Superpopulation model infe...
非概率样本已被广泛应用于各个领域。然而,由于选择概率未知,非概率样本存在选择偏差。超群模型可以推断出非概率样本的选择概率。
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引用次数: 0
Rates of convergence of the constrained least squares estimator in high-dimensional monotone single-index models 高维单调单指数模型中受约束最小二乘估计器的收敛速率
IF 0.8 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2024-04-04 DOI: 10.1080/03610926.2024.2330673
Christopher Fragneau, Fadoua Balabdaoui, Cécile Durot, Skander Stefan
In the high-dimensional monotone single index model, one observes i.i.d. copies of (X,Y) where the real response variable Y is linked to the d-dimensional covariate X through the relationship E[Y|X...
在高维单调单指数模型中,我们观察 (X,Y) 的 i.i.d. 副本,其中实际响应变量 Y 通过关系 E[Y|X...
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引用次数: 0
General results on precise asymptotics for the stochastic heat equation 随机热方程精确渐近的一般结果
IF 0.8 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2024-04-04 DOI: 10.1080/03610926.2024.2335541
Jingyu Li, Yong Zhang
In this article, we investigate the precise asymptotics for complete convergence and complete moment convergence for the spatial averages of the solution to the stochastic heat equation over a Eucl...
在本文中,我们研究了欧几里得上随机热方程解的空间平均值的完全收敛和完全矩收敛的精确渐近。
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引用次数: 0
Orthogonal systems based stable estimator for non parametric regression problems 基于正交系统的非参数回归问题稳定估计器
IF 0.8 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2024-04-02 DOI: 10.1080/03610926.2024.2333339
Asma Ben Saber, Abderrazek Karoui
In this work, we study a univariate as well as a multivariate Jacobi polynomial-based estimator for solving the fundamental problem of non parametric (NP) regression. The proposed NP regression est...
在这项工作中,我们研究了一种基于单变量和多变量雅可比多项式的估计器,用于解决非参数(NP)回归的基本问题。所提出的 NP 回归估计...
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引用次数: 0
On the asymptotic normality for integrated square error of Wegman-Davies recursive density estimators 论韦格曼-戴维斯递归密度估计器的积分平方误差渐近正态性
IF 0.8 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2024-04-02 DOI: 10.1080/03610926.2024.2334803
Yu Miao, Jun Ye
In this article, let {Xn,n≥1} be a sequence of i.i.d. random variables with common probability density function f, and f̂n denotes a Wegman-Davies recursive density estimator f̂n(x)=1nhn1/2∑i=1n1h...
在本文中,假设{Xn,n≥1}是具有共同概率密度函数f的i.i.d.随机变量序列,f̂n表示韦格曼-戴维斯递归密度估计量f̂n(x)=1nhn1/2∑i=1n1h...
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引用次数: 0
Consistency of the frequency polygon estimators of density function and density mode under m-END samples m-END 样本下密度函数和密度模式频率多边形估计器的一致性
IF 0.8 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2024-03-31 DOI: 10.1080/03610926.2024.2333331
Wei Wang, Hui Wang, Yi Wu
The frequency polygon estimation, which is based on the histogram technique, has a similar convergence rate as those of modern non negative kernel estimators and the advantage of computational simp...
基于直方图技术的频率多边形估计与现代非负核估计具有相似的收敛速度,并且具有计算简便的优势。
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引用次数: 0
Competing risks regression for clustered data with covariate-dependent censoring 具有协变量依赖性删减的聚类数据的竞争风险回归
IF 0.8 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2024-03-31 DOI: 10.1080/03610926.2024.2329771
Manoj Khanal, Soyoung Kim, Xi Fang, Kwang Woo Ahn
Competing risks data in clinical trials or observational studies often suffer from cluster effects such as center effects and matched pairs design. The proportional subdistribution hazards (PSH) mo...
临床试验或观察性研究中的竞争风险数据通常会受到中心效应和配对设计等群集效应的影响。比例子分布危险度(PSH)模型可用于分析这些数据。
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引用次数: 0
Closed testing procedure for comparing sizes of normal means based on ordered statistics 根据有序统计比较正态均值大小的封闭测试程序
IF 0.8 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2024-03-27 DOI: 10.1080/03610926.2024.2329769
T. Imada
The aim of this study is to propose a stepwise multiple comparison procedure for comparing the sizes of normal means. Our stepwise procedure is constructed by modifying Imada (2022)’s closed testin...
本研究旨在提出一种比较正态均值大小的逐步多重比较程序。我们的逐步程序是通过修改 Imada(2022 年)的封闭测试法而构建的。
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引用次数: 0
Two-sample test for stochastic block models via the largest singular value 通过最大奇异值对随机块模型进行双样本检验
IF 0.8 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2024-03-27 DOI: 10.1080/03610926.2024.2330669
Kang Fu, Jianwei Hu, Seydou Keita, Hang Liu
The stochastic block model is widely used for detecting community structures in network data. However, the research interest in much of the literature focuses on the study of one sample of stochast...
随机块模型被广泛用于检测网络数据中的群落结构。然而,许多文献的研究兴趣都集中在研究随机块模型的一个样本。
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引用次数: 0
Gibbs sampler for Bayesian prediction of triple seasonal autoregressive processes 三重季节性自回归过程贝叶斯预测的吉布斯采样器
IF 0.8 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2024-03-27 DOI: 10.1080/03610926.2024.2329780
Ayman A. Amin
Researchers have extended autoregressive (AR) time-series models to adequately fit and model time-series with triple seasonality. These AR extensions can be referred to as triple seasonal AR (TSAR)...
研究人员对自回归(AR)时间序列模型进行了扩展,以充分拟合并模拟具有三重季节性的时间序列。这些 AR 扩展模型可称为三重季节性 AR (TSAR)。
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引用次数: 0
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Communications in Statistics - Theory and Methods
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