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Frequentist model averaging for undirected Gaussian graphical models
Liu, Huihang1; Zhang, Xinyu1,2
2022-10-02
发表期刊BIOMETRICS
ISSN0006-341X
页码13
摘要Advances in information technologies have made network data increasingly frequent in a spectrum of big data applications, which is often explored by probabilistic graphical models. To precisely estimate the precision matrix, we propose an optimal model averaging estimator for Gaussian graphs. We prove that the proposed estimator is asymptotically optimal when candidate models are misspecified. The consistency and the asymptotic distribution of model averaging estimator, and the weight convergence are also studied when at least one correct model is included in the candidate set. Furthermore, numerical simulations and a real data analysis on yeast genetic data are conducted to illustrate that the proposed method is promising.
关键词graphical model KL divergence model averaging model uncertainty precision matrix
DOI10.1111/biom.13758
收录类别SCI
语种英语
资助项目China NNSF Grant[71925007] ; China NNSF Grant[72091212] ; China NNSF Grant[12288201] ; CAS Project for Young Scientists in Basic Research[YSBR-008]
WOS研究方向Life Sciences & Biomedicine - Other Topics ; Mathematical & Computational Biology ; Mathematics
WOS类目Biology ; Mathematical & Computational Biology ; Statistics & Probability
WOS记录号WOS:000862723400001
出版者WILEY
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/60930
专题中国科学院数学与系统科学研究院
通讯作者Zhang, Xinyu
作者单位1.Univ Sci & Technol China, Sch Management, Hefei, Anhui, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
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GB/T 7714
Liu, Huihang,Zhang, Xinyu. Frequentist model averaging for undirected Gaussian graphical models[J]. BIOMETRICS,2022:13.
APA Liu, Huihang,&Zhang, Xinyu.(2022).Frequentist model averaging for undirected Gaussian graphical models.BIOMETRICS,13.
MLA Liu, Huihang,et al."Frequentist model averaging for undirected Gaussian graphical models".BIOMETRICS (2022):13.
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