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Empirical likelihood-based portmanteau tests for autoregressive moving average models with possible infinite variance innovations 具有可能无限方差创新的自回归移动平均模型的经验似然组合检验
IF 0.8 4区 数学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2023-01-01 DOI: 10.4310/22-sii761
Xiaohui Liu, Donghui Fan, Xu Zhang, C. Liu
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引用次数: 0
Testing threshold effect in single-index models 检验单指标模型的阈值效应
IF 0.8 4区 数学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2023-01-01 DOI: 10.4310/21-sii694
Zhaoxing Gao, Zichuan Mi, S. Ling
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引用次数: 0
Least absolute deviations estimation for nonstationary vector autoregressive time series models with pure unit roots 纯单位根非平稳向量自回归时间序列模型的最小绝对偏差估计
IF 0.8 4区 数学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2023-01-01 DOI: 10.4310/21-sii721
Yao Zheng, Jianhong Wu, W. Li, Guodong Li
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引用次数: 0
On dual-asymmetry linear double AR models 关于双不对称线性双AR模型
IF 0.8 4区 数学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2023-01-01 DOI: 10.4310/21-sii691
Song-ning Tan, Qianqian Zhu
This paper introduces a dual-asymmetry linear double autoregressive (DA-LDAR) model that can allow for asymmetric effects in both the conditional location and volatility components of time series data. The strict stationarity is discussed for the new model, for which a sufficient condition is established. A self-weighted exponential quasi-maximum likelihood estimator (EQMLE) is proposed for the DA-LDAR model, and a mixed portmanteau test for goodness-of-fit is constructed based on the self-weighted EQMLE. It is noteworthy that all the asymptotic properties for estimation and testing are established without any moment condition on the data process, which makes the new model and its inference tools applicable for heavy-tailed data. Since all inference tools need to estimate the unknown density function of innovations, we employ a random-weighting bootstrap method to facilitate accurate inference and show its asymptotic validity. Simulation studies provide support for theoretical results, and an empirical application to NASDAQ Composite Index illustrates the usefulness of the new model.
本文介绍了一种双不对称线性双自回归(DA-LDAR)模型,该模型可以考虑时间序列数据的条件位置和波动分量的不对称效应。讨论了新模型的严格平稳性,并给出了该模型的一个充分条件。提出了DA-LDAR模型的自加权指数拟极大似然估计,并在此基础上构造了拟合优度的混合组合检验。值得注意的是,所有用于估计和检验的渐近性质都是在数据过程中不存在任何矩条件的情况下建立的,这使得新模型及其推理工具适用于重尾数据。由于所有的推理工具都需要估计未知的创新密度函数,我们采用随机加权自举方法来促进准确的推理并证明其渐近有效性。仿真研究为理论结果提供了支持,并通过对纳斯达克综合指数的实证应用说明了新模型的有效性。
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引用次数: 0
Fine-tuned sensitivity analysis for non-ignorable missing data mechanism in linear regression models 线性回归模型中不可忽略缺失数据机制的微调灵敏度分析
IF 0.8 4区 数学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2023-01-01 DOI: 10.4310/22-sii748
Rong Zhu, P. Yin, J. Shi
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引用次数: 0
Multivariate frailty models using survey weights with applications to twins infant mortality in Ethiopia 使用调查权重的多变量脆弱性模型与埃塞俄比亚双胞胎婴儿死亡率的应用
IF 0.8 4区 数学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2023-01-01 DOI: 10.4310/22-sii738
Yehenew G. Kifle, D. Chen, Mesfin Haileyesus
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引用次数: 1
Generalized Gaussian time series model for increments of EEG data 脑电数据增量的广义高斯时间序列模型
4区 数学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2023-01-01 DOI: 10.4310/sii.2023.v16.n1.a2
Nikolai N. Leonenko, Zeljka Salinger, Alla Sikorskii, Nenad Suvak, Michael Boivin
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引用次数: 1
Quantile recurrent forecasting in singular spectrum analysis for stock price monitoring 股票价格监测奇异谱分析的分位数循环预测
IF 0.8 4区 数学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2023-01-01 DOI: 10.4310/21-sii720
Atikur R. Khan, Hossein Hassani
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引用次数: 0
Modeling water table depth using singular spectrum analysis 利用奇异谱分析模拟地下水位深度
IF 0.8 4区 数学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2023-01-01 DOI: 10.4310/22-sii734
R. Mahmoudvand, M. Barati, A. Seif, Sahar Ranjbaran, Paulo Canas Rodrigues
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引用次数: 0
A default Bayesian multiple comparison of two binomial proportions 两个二项式比例的默认贝叶斯倍数比较
IF 0.8 4区 数学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2023-01-01 DOI: 10.4310/22-sii740
E. Gecili, S. Sivaganesan
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引用次数: 0
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