348 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- City University of Hong KongHK5 papers
- National Institute of Advanced Industrial Science and TechnologyJP4 papers
- Chinese Academy of SciencesCN3 papers
- Michigan State UniversityUS3 papers
- Nanyang Technological UniversitySG3 papers
- Swansea UniversityGB3 papers
- Academy of Mathematics and Systems ScienceCN2 papers
- Beijing University of Posts and TelecommunicationsCN2 papers
- Gannan Normal UniversityCN2 papers
- Nanjing University of Aeronautics and AstronauticsCN2 papers
- Nankai UniversityCN2 papers
- Southwest UniversityCN2 papers
5 papers · 1 filter
Bahadur representations for the bootstrap median absolute deviation and the application to projection depth weighted mean
Qing Liu, Xiaohui Liu
Median absolute deviation (hereafter MAD) is known as a robust alternative to the ordinary variance. It has been widely utilized to induce robust statistical inferential procedures…
Limit theory for an AR(1) model with intercept and a possible infinite variance
Qing Liu, Xiaohui Liu
In this paper, we derive the limit distribution of the least squares estimator for an AR(1) model with a non-zero intercept and a possible infinite variance. It turns out that the…
The limit of finite sample breakdown point of Tukey's halfspace median for general data
Xiaohui Liu, Shihua Luo, Yijun Zuo
Under special conditions on data set and underlying distribution, the limit of finite sample breakdown point of Tukey's halfspace median () has been obtained in liter…
Finite sample breakdown point of Tukey's halfspace median
Xiaohui Liu, Yijun Zuo, Qihua Wang
Tukey's halfspace median ($\HM$), servicing as the {multivariate} counterpart of the univariate median, has been introduced and extensively studied in the literature. It is suppose…
Some results on the computing of Tukey's halfspace medain
Xiaohui Liu, Shihua Luo, Yijun Zuo
Depth of the Tukey median is investigated for empirical distributions. A sharper upper bound is provided for this value for data sets in general position. This bound is lower than…