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Discussion of “Estimation of Hilbertian varying coefficient models” 关于“希尔伯特变系数模型估计”的讨论
IF 0.8 4区 数学 Q4 Mathematics Pub Date : 2022-01-01 DOI: 10.4310/21-sii671
Pang Du
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引用次数: 0
Bayesian estimation for partially linear varying coefficient spatial autoregressive models 部分线性变系数空间自回归模型的贝叶斯估计
IF 0.8 4区 数学 Q4 Mathematics Pub Date : 2022-01-01 DOI: 10.4310/21-SII682
Ruiqin Tian, Dengke Xu, Jiang Du, Junfei Zhang
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引用次数: 1
Rejoinder of “Estimation of Hilbertian varying coefficient models” 对“希尔伯特变系数模型估计”的回答
IF 0.8 4区 数学 Q4 Mathematics Pub Date : 2022-01-01 DOI: 10.4310/21-sii685
Young K. Lee, Byeong-U Park, H. Hong, Dongwoo Kim
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引用次数: 0
Multivariate Bernstein Fréchet copulas 多元Bernstein fracimchet copulas
IF 0.8 4区 数学 Q4 Mathematics Pub Date : 2022-01-01 DOI: 10.4310/22-sii722
Zongkai Xie, Fang Wang, Jingping Yang, N. Guo
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引用次数: 0
Bayesian estimation for a mortality model via the aging process 衰老过程中死亡率模型的贝叶斯估计
IF 0.8 4区 数学 Q4 Mathematics Pub Date : 2022-01-01 DOI: 10.4310/21-SII670
L. J. R. Esparza, F. Baltazar-Larios
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引用次数: 0
Stochastic diffusion process based on Goel–Okumoto curve: statistical inference and application to real data 基于Goel-Okumoto曲线的随机扩散过程:统计推断及其在实际数据中的应用
IF 0.8 4区 数学 Q4 Mathematics Pub Date : 2022-01-01 DOI: 10.4310/21-SII675
Ahmed Nafidi, Oussama Rida, M. Bahij, B. Achchab
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引用次数: 0
Discussion of “Estimation of Hilbertian varying coefficient models” 关于“希尔伯特变系数模型估计”的讨论
IF 0.8 4区 数学 Q4 Mathematics Pub Date : 2022-01-01 DOI: 10.4310/21-sii679
Ming-Yen Cheng
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引用次数: 0
Paired-sample tests for homogeneity with/without confounding variables 有/没有混杂变量的同质性配对样本检验
IF 0.8 4区 数学 Q4 Mathematics Pub Date : 2022-01-01 DOI: 10.4310/21-sii695
Minqiong Chen, T. Tian, Jin Zhu, Wenliang Pan, Xueqin Wang
{"title":"Paired-sample tests for homogeneity with/without confounding variables","authors":"Minqiong Chen, T. Tian, Jin Zhu, Wenliang Pan, Xueqin Wang","doi":"10.4310/21-sii695","DOIUrl":"https://doi.org/10.4310/21-sii695","url":null,"abstract":"","PeriodicalId":51230,"journal":{"name":"Statistics and Its Interface","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71151479","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
Semiparametric transformation models of survival-out-of-hospital 院外生存的半参数变换模型
IF 0.8 4区 数学 Q4 Mathematics Pub Date : 2022-01-01 DOI: 10.4310/21-sii713
Xiaowei Sun, Cheng Zeng, Liuquan Sun
Recurrent event data with a terminal event commonly arise in biomedical studies, and the survival-out-of-hospital process is a useful alternative framework for the analysis of recurrent/terminal event data with non-negligible event duration. In this article, we propose a class of semiparametric transformation models for the survival-out-of-hospital process, and the proposed models offer great flexibility in formulating covariate effects on the probability of survival-out-of-hospital. Estimating equation approaches are developed for the model parameters, and the asymptotic properties of the resulting estimators are established. The finite sample performance of the proposed estimators is examined through simulation studies. An application to a Centers for Medicare and Medicaid Services study is provided.
具有终末事件的复发事件数据通常出现在生物医学研究中,院外生存过程是分析具有不可忽略事件持续时间的复发/终末事件数据的有用替代框架。在本文中,我们提出了一类医院外生存过程的半参数转换模型,所提出的模型在表达医院外生存概率的协变量效应方面具有很大的灵活性。提出了模型参数的估计方程方法,并给出了估计量的渐近性质。通过仿真研究验证了所提估计器的有限样本性能。申请医疗保险和医疗补助服务中心的研究提供。
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引用次数: 0
A sequential Monte Carlo Gibbs coupled with stochastically approximated expectation-maximization algorithm for functional data 函数数据的顺序蒙特卡罗吉布斯耦合随机逼近期望最大化算法
IF 0.8 4区 数学 Q4 Mathematics Pub Date : 2022-01-01 DOI: 10.4310/20-sii657
Ziyu Liu
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引用次数: 0
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Statistics and Its Interface
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