科研成果详情

发表状态已发表Published
题名Aims: Average information matrix splitting
作者
发表日期2020-11-01
发表期刊Mathematical Foundations of Computing
卷号3期号:4页码:301-308
摘要

For linear mixed models with co-variance matrices which are not linearly dependent on variance component parameters, we prove that the average of the observed information and the Fisher information can be split into two parts. The essential part enjoys a simple and computational friendly formula, while the other part which involves a lot of computations is a random zero matrix and thus is negligible.

关键词average information Fisher information matrix linear mixed model Newton method Observed information matrix variance parameter estimation
DOI10.3934/mfc.2020012
URL查看来源
收录类别ESCI
语种英语English
WOS研究方向Computer Science
WOS类目Computer Science ; Theory & Methods
WOS记录号WOS:000593772000007
Scopus入藏号2-s2.0-85088536475
引用统计
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/11500
专题个人在本单位外知识产出
通讯作者Zhu, Shengxin
作者单位
1.Laboratory for Intelligent Computing and Financial Technology,Department of Mathematics,Xi’an Jiaotong-Liverpool University,Suzhou,215123,China
2.Laboratory of Computational Physics,Institute of Applied Physics and Computational Mathematics,Beijing,100088,China
推荐引用方式
GB/T 7714
Zhu, Shengxin,Gu, Tongxiang,Liu, Xingping. Aims: Average information matrix splitting[J]. Mathematical Foundations of Computing, 2020, 3(4): 301-308.
APA Zhu, Shengxin, Gu, Tongxiang, & Liu, Xingping. (2020). Aims: Average information matrix splitting. Mathematical Foundations of Computing, 3(4), 301-308.
MLA Zhu, Shengxin,et al."Aims: Average information matrix splitting". Mathematical Foundations of Computing 3.4(2020): 301-308.
条目包含的文件
条目无相关文件。
个性服务
查看访问统计
谷歌学术
谷歌学术中相似的文章
[Zhu, Shengxin]的文章
[Gu, Tongxiang]的文章
[Liu, Xingping]的文章
百度学术
百度学术中相似的文章
[Zhu, Shengxin]的文章
[Gu, Tongxiang]的文章
[Liu, Xingping]的文章
必应学术
必应学术中相似的文章
[Zhu, Shengxin]的文章
[Gu, Tongxiang]的文章
[Liu, Xingping]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。