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Journal of the Korean Statistical Society最新文献

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Bayesian sparse seemingly unrelated regressions model with variable selection and covariance estimation via the horseshoe+ 基于马蹄形变量选择和协方差估计的贝叶斯稀疏看似无关回归模型+
IF 0.6 4区 数学 Q3 Mathematics Pub Date : 2023-06-15 DOI: 10.1007/s42952-023-00217-4
Dongu Han, Daeyoung Lim, Taeryon Choi
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引用次数: 0
Extreme eigenvalues of principal minors of random matrices with moment conditions 具有矩条件的随机矩阵主次的极值特征值
IF 0.6 4区 数学 Q3 Mathematics Pub Date : 2023-06-14 DOI: 10.1007/s42952-023-00218-3
Jian-bo Hu, Seydou Keita, K. Fu
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引用次数: 0
A novel high-order multivariate Markov model for spatiotemporal analysis with application to COVID-19 outbreak. 一种新的高阶多变量Markov时空分析模型及其在新冠肺炎疫情中的应用。
IF 0.6 4区 数学 Q3 Mathematics Pub Date : 2023-05-29 DOI: 10.1007/s42952-023-00210-x
A M Elshehawey, Zhengming Qian

We propose a new strategy for analyzing the evolution of random phenomena over time and space simultaneously based on the high-order multivariate Markov chains. We develop a novel Markov model of order r for m chains consisting of s possible states to gather parsimony with realism. It can capture negative and positive associations among the chains with only a reduced number of parameters, rm2s2+2, remarkably lower than msrm+1 required for the full parameterized model. Our model privileges are enhanced by a Monte Carlo simulation experiment, besides application to analyze the spatial-temporal dynamics for the risk level of a recently global pandemic (COVID-19) outbreak in world health organization (WHO) regions for predicting the risk state of epidemiological prevalence and monitoring infection control.

基于高阶多元马尔可夫链,我们提出了一种新的策略来同时分析随机现象在时间和空间上的演化。我们为由s个可能状态组成的m链建立了一个新的r阶马尔可夫模型,以收集具有现实性的简约性。它可以捕获链之间的负关联和正关联,只需减少参数数量rm2s2+2,显著低于全参数化模型所需的msrm+1。除了应用于分析世界卫生组织(世界卫生组织)地区最近爆发的全球大流行(新冠肺炎)的风险水平的时空动态,以预测流行病学流行的风险状态和监测感染控制外,我们的模型特权还通过蒙特卡洛模拟实验得到了增强。
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引用次数: 0
The relationship between shape parameters and kurtosis in some relevant models 一些相关模型中形状参数与峰度的关系
IF 0.6 4区 数学 Q3 Mathematics Pub Date : 2023-05-17 DOI: 10.1007/s42952-023-00214-7
C. Borroni, L. De Capitani
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引用次数: 0
Structure learning of exponential family graphical model with false discovery rate control 具有错误发现率控制的指数族图模型的结构学习
IF 0.6 4区 数学 Q3 Mathematics Pub Date : 2023-05-09 DOI: 10.1007/s42952-023-00213-8
Yanhong Liu, Yuhao Zhang, Zhonghua Li
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引用次数: 0
Monitoring parameter change for bivariate time series models of counts. 监测计数的双变量时间序列模型的参数变化。
IF 0.6 4区 数学 Q3 Mathematics Pub Date : 2023-05-07 DOI: 10.1007/s42952-023-00212-9
Sangyeol Lee, Dongwon Kim

In this study, we consider an online monitoring procedure to detect a parameter change for bivariate time series of counts, following bivariate integer-valued generalized autoregressive heteroscedastic (BIGARCH) and autoregressive (BINAR) models. To handle this problem, we employ the cumulative sum (CUSUM) process constructed from the (standardized) residuals obtained from those models. To attain control limits, we develop limit theorems for the proposed monitoring process. A simulation study and real data analysis are conducted to affirm the validity of the proposed method.

在本研究中,我们考虑了一种在线监测程序,以检测计数的二变量时间序列的参数变化,遵循二变量整数值广义自回归异方差(BIGARCH)和自回归(BINAR)模型。为了处理这个问题,我们使用累积和(CUSUM)过程,该过程是由从这些模型中获得的(标准化)残差构建的。为了达到控制极限,我们为所提出的监测过程发展了极限定理。通过仿真研究和实际数据分析,验证了该方法的有效性。
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引用次数: 0
Matrix variate density estimation with additional information 具有附加信息的矩阵变量密度估计
IF 0.6 4区 数学 Q3 Mathematics Pub Date : 2023-04-18 DOI: 10.1007/s42952-023-00211-w
A. Sadeghkhani, M. Arashi
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引用次数: 0
Parameter estimation for nth-order mixed fractional Brownian motion with polynomial drift 具有多项式漂移的n阶混合分数布朗运动的参数估计
IF 0.6 4区 数学 Q3 Mathematics Pub Date : 2023-03-14 DOI: 10.1007/s42952-023-00209-4
Mohamed El Omari
{"title":"Parameter estimation for nth-order mixed fractional Brownian motion with polynomial drift","authors":"Mohamed El Omari","doi":"10.1007/s42952-023-00209-4","DOIUrl":"https://doi.org/10.1007/s42952-023-00209-4","url":null,"abstract":"","PeriodicalId":49992,"journal":{"name":"Journal of the Korean Statistical Society","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45895393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Concentration inequalities for Kernel density estimators under uniform mixing 均匀混合下核密度估计量的浓度不等式
IF 0.6 4区 数学 Q3 Mathematics Pub Date : 2023-02-24 DOI: 10.1007/s42952-023-00208-5
Stelios Arvanitis
{"title":"Concentration inequalities for Kernel density estimators under uniform mixing","authors":"Stelios Arvanitis","doi":"10.1007/s42952-023-00208-5","DOIUrl":"https://doi.org/10.1007/s42952-023-00208-5","url":null,"abstract":"","PeriodicalId":49992,"journal":{"name":"Journal of the Korean Statistical Society","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"52784628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
$$L_1$$-penalized fraud detection support vector machines $$L_1$$-惩罚欺诈检测支持向量机
IF 0.6 4区 数学 Q3 Mathematics Pub Date : 2023-02-21 DOI: 10.1007/s42952-023-00207-6
M. Park, Hyungwoo Kim, S. Shin
{"title":"$$L_1$$-penalized fraud detection support vector machines","authors":"M. Park, Hyungwoo Kim, S. Shin","doi":"10.1007/s42952-023-00207-6","DOIUrl":"https://doi.org/10.1007/s42952-023-00207-6","url":null,"abstract":"","PeriodicalId":49992,"journal":{"name":"Journal of the Korean Statistical Society","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2023-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42442001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Journal of the Korean Statistical Society
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