4 citations · 8 across the 3 of their papers we have counts for
3 papers
stat.CO2016★ 2 cited
Information Splitting for Big Data Analytics
Shengxin Zhu, Tongxiang Gu, Xiaowen Xu +1
Many statistical models require an estimation of unknown (co)-variance parameter(s) in a model. The estimation usually obtained by maximizing a log-likelihood which involves log de…
stat.ME2016★ 4 cited
AIMS:Average Information Matrix Splitting
Shengxin Zhu, Tongxiang Gu, Xingping Liu
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 F…
math.NA2014★ 2 cited
From Sylvester's determinant identity to Cramer's rule
Hou-biao Li, Ting-Zhu Huang, Tong-xiang Gu +1
The object of this paper is to introduce a new and fascinating method of solving large linear equations, based on Cramer's rule or Gaussian elimination but employing Sylvester's de…