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A comparison of nonparametric methods for multivariate two-sample tests 多变量双样本检验的非参数方法比较
IF 0.9 4区 数学 Q2 Mathematics Pub Date : 2024-04-12 DOI: 10.1080/03610918.2024.2306561
Rosa Arboretti, Elena Barzizza, Riccardo Ceccato
Comparing two multivariate populations can be challenging when the distributional forms are unknown. In such a situation, parametric test procedures are not appropriate given that they require dist...
在分布形式未知的情况下,比较两个多变量群体是一项挑战。在这种情况下,参数检验程序并不合适,因为它们需要对两个变量的分布形式进行...
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引用次数: 0
Continuous-time Markov chain approximation for pricing Asian options under rough stochastic local volatility models 粗略随机局部波动率模型下亚洲期权定价的连续时间马尔可夫链近似法
IF 0.9 4区 数学 Q2 Mathematics Pub Date : 2024-04-12 DOI: 10.1080/03610918.2024.2334790
Ziqi Lei, Qing Zhou, Weilin Xiao
We propose a general framework for pricing both discretely and continuously monitored arithmetic average Asian options whose underlying asset price satisfies the rough stochastic local volatility m...
我们提出了一个为离散和连续监测算术平均亚洲期权定价的一般框架,其标的资产价格满足粗略随机局部波动率模型。
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引用次数: 0
A more powerful test method for analyzing unreplicated factorial two-level experiments 分析无重复因子两水平实验的更强大测试方法
IF 0.9 4区 数学 Q2 Mathematics Pub Date : 2024-04-12 DOI: 10.1080/03610918.2024.2338186
Y. Chen
Most of existing methods for analyzing unreplicated two-level factorial designs need the assumption of effect sparsity and only perform well when the effectssparsity assumption holds. The effects-s...
现有的大多数分析无重复两级因子设计的方法都需要效应稀疏性假设,而且只有当效应稀疏性假设成立时,这些方法才会表现良好。效应稀疏性假定是一个非常复杂的问题。
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引用次数: 0
Contrast estimation of the Vasicek integrated diffusion process for high-frequency data 针对高频数据的瓦西切克综合扩散过程对比度估算
IF 0.9 4区 数学 Q2 Mathematics Pub Date : 2024-04-09 DOI: 10.1080/03610918.2024.2337077
Shanchao Yang, Zhiyong Li, Jiaying Xie, Shuyi Luo, Xin Yang
The purpose of this paper is to study the parameter estimation of the Vasicek integrated diffusion process. Based on the contrast function, the parameter contrast estimators of the Vasicek integrat...
本文旨在研究 Vasicek 集成扩散过程的参数估计。基于对比度函数,Vasicek 积分扩散过程的参数对比度估算器可用于估算 Vasicek 积分扩散过程。
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引用次数: 0
Parameter estimation for strict arcsine distribution 严格 arcsine 分布的参数估计
IF 0.9 4区 数学 Q2 Mathematics Pub Date : 2024-04-02 DOI: 10.1080/03610918.2024.2335539
Yeh-Ching Low, Yook-Ngor Phang, Wooi-Chen Khoo, Seng-Huat Ong
The two-parameter strict arcsine distribution as a member of the natural exponential family with cubic variance function has been shown to be a viable candidate for statistical analysis of count da...
双参数严格弧线分布是自然指数族中的一个成员,具有三次方差函数,已被证明是对计数数据进行统计分析的一个可行候选参数。
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引用次数: 0
A revisit to Pearson correlation coefficient under multiplicative distortions 重温乘法失真条件下的皮尔逊相关系数
IF 0.9 4区 数学 Q2 Mathematics Pub Date : 2024-04-02 DOI: 10.1080/03610918.2024.2333352
Siming Deng, Jun Zhang, Yingcong Huang, Jiongtao Zhong, Xiaozhen Yang
We consider the estimation of Pearson correlation coefficient when two continuous variables can not be directly observed but measured with multiplicative distortion measurement errors. Different fr...
我们考虑的是当两个连续变量无法直接观测,而是以乘法失真测量误差进行测量时的皮尔逊相关系数估计问题。不同的测量误差会产生不同的相关系数。
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引用次数: 0
Simultaneous variable selection and parameters estimation for longitudinal data subject to missingness and covariates measurement error 受缺失和协变量测量误差影响的纵向数据的同步变量选择和参数估计
IF 0.9 4区 数学 Q2 Mathematics Pub Date : 2024-04-02 DOI: 10.1080/03610918.2024.2333355
Heba A. Basha, Abdelnaser S. Abdrabou, Ahmed M. Gad, Wafaa I. M. Ibrahim
Longitudinal studies are indispensable to study the change over time in a response variable. The main challenge of such studies is the presence of missing values. Another challenge in these studies...
纵向研究对于研究响应变量随时间的变化是必不可少的。这类研究的主要挑战是存在缺失值。这些研究的另一个挑战是...
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引用次数: 0
From bibliometrics to text mining: exploring feature selection methods in microarray research 从文献计量学到文本挖掘:探索微阵列研究中的特征选择方法
IF 0.9 4区 数学 Q2 Mathematics Pub Date : 2024-03-31 DOI: 10.1080/03610918.2024.2331083
Guilherme Alberto Sousa Ribeiro, Rommel Melgaço Barbosa, Márcio da Cunha Reis, Nattane Luiza Costa
Text mining (TM) is a technique that aims to extract knowledge from unstructured data sources by transforming them into structured data. TM algorithms can be used to detect hidden patterns in large...
文本挖掘(TM)是一种技术,旨在通过将非结构化数据转换为结构化数据,从非结构化数据源中提取知识。文本挖掘算法可用于检测大量数据中隐藏的模式。
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引用次数: 0
Double sparsity garrotized kernel machine in high-dimensional partially linear model 高维部分线性模型中的双稀疏加码核机
IF 0.9 4区 数学 Q2 Mathematics Pub Date : 2024-03-31 DOI: 10.1080/03610918.2024.2329244
Xinyi Zhao, Yaohua Rong, Junze Lin, Maozai Tian, Jinwen Liang
Obtaining excellent prediction accuracy in the high-dimensional partially linear model is particularly important. However, it is difficult to achieve due to the complex relationship between nonpara...
在高维部分线性模型中获得出色的预测精度尤为重要。然而,由于非线性模型与线性模型之间的复杂关系,要实现这一目标非常困难。
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引用次数: 0
Multiple arbitrarily inflated Poisson regression analysis 多重任意膨胀泊松回归分析
IF 0.9 4区 数学 Q2 Mathematics Pub Date : 2024-03-31 DOI: 10.1080/03610918.2024.2331624
Ihab Abusaif, Burak Kayacı, Coşkun Kuş
In this paper, a new flexible count regression analysis is proposed. For this purpose, a new modification of the Poisson distribution is introduced which generalizes the Poisson, zero-inflated Pois...
本文提出了一种新的灵活计数回归分析方法。为此,本文引入了对泊松分布的一种新的修正,它概括了泊松分布、零膨胀泊松分布和零膨胀泊松分布。
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引用次数: 0
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Communications in Statistics-Simulation and Computation
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