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Journal of the Korean Statistical Society最新文献

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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 Q4 STATISTICS & PROBABILITY 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 Q4 STATISTICS & PROBABILITY 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 Q4 STATISTICS & PROBABILITY 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 Q4 STATISTICS & PROBABILITY 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 Q4 STATISTICS & PROBABILITY Pub Date : 2023-03-14 DOI: 10.1007/s42952-023-00209-4
Mohamed El Omari
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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 Q4 STATISTICS & PROBABILITY Pub Date : 2023-02-24 DOI: 10.1007/s42952-023-00208-5
Stelios Arvanitis
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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 Q4 STATISTICS & PROBABILITY Pub Date : 2023-02-21 DOI: 10.1007/s42952-023-00207-6
M. Park, Hyungwoo Kim, S. Shin
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引用次数: 0
Bayesian pathway selection 贝叶斯路径选择
IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2023-01-24 DOI: 10.1007/s42952-022-00201-4
Pacifique Nizeyimana, K. Lee, Inyoung Kim
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引用次数: 0
The expectation–maximization approach for Bayesian additive Cox regression with current status data 当前状态数据下贝叶斯加性Cox回归的期望-最大化方法
IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2023-01-22 DOI: 10.1007/s42952-023-00204-9
Di Cui, C. Tee
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引用次数: 1
Deconvolution problem of cumulative distribution function with heteroscedastic errors 异方差累积分布函数的反卷积问题
IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2023-01-21 DOI: 10.1007/s42952-023-00203-w
Le Ho Thi Thuy, Cao Xuan Phuong
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引用次数: 0
期刊
Journal of the Korean Statistical Society
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