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Journal of the Korean Statistical Society最新文献

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Objective Bayesian inference for the reliability in a bivariate Lomax distribution 二变量Lomax分布可靠性的客观贝叶斯推断
IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2023-08-30 DOI: 10.1007/s42952-023-00223-6
S. Kang, William David Lee, Yong-Kyu Kim
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引用次数: 0
Goodness of fit test for Rayleigh distribution with censored observations 带截尾观测值的瑞利分布的拟合优度检验
IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2023-08-08 DOI: 10.1007/s42952-023-00222-7
K. M. Vaisakh, Thomas Xavier, E. Sreedevi
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引用次数: 0
Robust variable selection for the varying index coefficient models 变指标系数模型的鲁棒变量选择
IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2023-08-07 DOI: 10.1007/s42952-023-00221-8
Hang Zou, Yunlu Jiang
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引用次数: 0
Correction: Extreme eigenvalues of principal minors of random matrices with moment conditions 修正:有矩条件的随机矩阵的主次特征值的极值
IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2023-07-18 DOI: 10.1007/s42952-023-00220-9
Jianwei Hu, Seydou Keita, K. Fu
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引用次数: 0
A new non-iterative deterministic algorithm for constructing asymptotically orthogonal maximin distance Latin hypercube designs 构造渐近正交最大距离拉丁超立方体设计的一种新的非迭代确定性算法
IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2023-07-03 DOI: 10.1007/s42952-023-00215-6
A. M. Elsawah (Ahmed Elsawah), Yingyao Gong
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引用次数: 2
Functional regression with dependent error and missing observation in reproducing kernel Hilbert spaces 重核Hilbert空间中具有相关误差和漏观测的函数回归
IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2023-06-30 DOI: 10.1007/s42952-023-00219-2
Yan-Ping Hu, Han-Ying Liang
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引用次数: 1
Zero-inflated Poisson-Akash distribution for count data with excessive zeros 具有过零点的计数数据的零膨胀Poisson-Akash分布
IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2023-06-16 DOI: 10.1007/s42952-023-00216-5
Mohammad Kafeel Wani, P. B. Ahmad
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引用次数: 0
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 Q4 STATISTICS & PROBABILITY 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 Q4 STATISTICS & PROBABILITY 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 Q4 STATISTICS & PROBABILITY 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
期刊
Journal of the Korean Statistical Society
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