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Bayesian inference for long memory term structure models 长记忆期限结构模型的贝叶斯推理
IF 1.2 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-01-02 DOI: 10.1080/00949655.2023.2299938
Fernanda Valente, Márcio Laurini
In this study, we propose a novel adaptation of the Dynamic Nelson–Siegel term structure model, incorporating long memory properties to enhance its forecasting accuracy. Our approach involves model...
在本研究中,我们提出了一种新颖的动态 Nelson-Siegel 期限结构模型调整方法,将长记忆特性纳入其中,以提高其预测准确性。我们的方法涉及模型...
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引用次数: 0
Permutation tests of multivariate location using data depth 利用数据深度对多元位置进行置换检验
IF 1.2 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-12-29 DOI: 10.1080/00949655.2023.2298855
Sakineh Dehghan
We provide two classes of affine invariant statistics based on data depth to test the equality of mean vectors in multivariate paired data. The proposed tests are defined based on the depth values ...
我们提供了两类基于数据深度的仿射不变统计量,用于检验多元配对数据中平均向量的相等性。所提出的检验是基于深度值定义的。
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引用次数: 0
Estimation of Rényi entropy for lifetime uncertainty 寿命不确定性的雷尼熵估计
IF 1.2 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-12-29 DOI: 10.1080/00949655.2023.2298862
Silpa Subhash, S.M. Sunoj, N. Unnikrishnan Nair
A system can be considered to be reliable if it operates successfully for a long period of time and has fewer uncertainties during its lifespan. In other words, lower the uncertainty of a random va...
如果一个系统能长期成功运行,并且在其生命周期内不确定性较少,那么它就可以被认为是可靠的。换句话说,降低随机变量的不确定性,就能提高系统的可靠性。
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引用次数: 0
A comparison between marginal likelihood and data augmented MCMC algorithms for Gaussian hidden Markov models 高斯隐马尔可夫模型的边际似然和数据增强 MCMC 算法比较
IF 1.2 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-12-22 DOI: 10.1080/00949655.2023.2294098
Daniele Tancini, Francesco Bartolucci, S. Pandolfi
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引用次数: 0
Estimation of multicomponent stress–strength reliability for exponentiated Gumbel distribution 指数化 Gumbel 分布的多成分应力强度可靠性估算
IF 1.2 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-12-21 DOI: 10.1080/00949655.2023.2294104
Manoj Chacko, Ashly Elizabeth Koshy
In this paper, the stress–strength reliability Rs,k of a multicomponent s-out-of-k system for exponentiated Gumbel distribution is considered. An s-out-of-k system means a system with total k compo...
本文考虑了指数化 Gumbel 分布的多组分 s-out-of-k 系统的应力强度可靠性 Rs,k。s-out-of-k系统指的是共有k个组件的系统。
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引用次数: 0
Identifying the time of step change in process parameter for Maxwell distribution 确定麦克斯韦分布工艺参数的阶跃变化时间
IF 1.2 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-12-20 DOI: 10.1080/00949655.2023.2294949
Rupali A. Kapase, Vikas B. Ghute
Due to the quick identification of the root causes for an out-of-control process, the estimation of exact time of a process change would be helpful thing for the process improvement. In contrast to...
由于可以快速识别失控流程的根本原因,因此估算流程变更的确切时间将有助于流程改进。与之相比,...
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引用次数: 0
Multiple imputation of missing data with skip-pattern covariates: a comparison of alternative strategies 使用跳过模式协变量对缺失数据进行多重估算:替代策略比较
IF 1.2 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-12-18 DOI: 10.1080/00949655.2023.2293124
Guangyu Zhang, Yulei He, Bill Cai, Chris Moriarity, Hee-Choon Shin, Van Parsons, Katherine E. Irimata
Multiple imputation (MI) is a widely used approach to address missing data issues in surveys. Variables included in MI can have various distributional forms with different degrees of missingness. H...
多重估算(MI)是一种广泛应用于解决调查中缺失数据问题的方法。多重估算中包含的变量可以有不同的分布形式和不同的缺失程度。H...
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引用次数: 0
Special issue linStat: sequential projection pursuit 特刊 linStat:顺序投影追求
IF 1.2 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-12-14 DOI: 10.1080/00949655.2023.2294101
Cinzia Franceschini, Nicola Loperfido
Friedman and Tukey (1974, A projection pursuit algorithm for exploratory data analysis. IEEE Trans Comput. C-23:881–890), in their seminal paper, coined the term projection pursuit to denote a sequ...
Friedman and Tukey (1974, A projection pursuit algorithm for exploratory data analysis.IEEE Trans Comput.C-23:881-890)在他们的开创性论文中,创造了投影追寻一词来表示一种序列...
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引用次数: 0
Regularized estimation of Kronecker structured covariance matrix using modified Cholesky decomposition 利用修正的 Cholesky 分解对 Kronecker 结构协方差矩阵进行正则化估计
IF 1.2 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-12-11 DOI: 10.1080/00949655.2023.2291536
Deliang Dai, Chengcheng Hao, Shaobo Jin, Yuli Liang
In this paper, we study a Kronecker structured model for covariance matrices when data are matrix-valued. Using the modified Cholesky decomposition for Kronecker structured covariance matrix, we pr...
本文研究了数据为矩阵值时协方差矩阵的 Kronecker 结构模型。利用 Kronecker 结构协方差矩阵的修正 Cholesky 分解,我们提出了一种新的协方差矩阵模型。
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引用次数: 0
Dealing with missing observations in the outcome and covariates in randomized controlled trials 处理随机对照试验中结果和协变量的缺失观测数据
IF 1.2 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-12-08 DOI: 10.1080/00949655.2023.2291533
Mutamba T. Kayembe, Frans E. S. Tan, Gerard J. P. van Breukelen, Shahab Jolani
This article compares different missing data methods in randomized controlled trials, specifically addressing cases involving joint missingness in the outcome and covariates. In the existing litera...
本文比较了随机对照试验中不同的数据缺失方法,特别是涉及结果和协变量共同缺失的情况。在现有的文献中,缺失数据的处理方法有很多种。
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引用次数: 0
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Journal of Statistical Computation and Simulation
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