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Xiaohui Liu

11 papers hereh-index 11365 citations43 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3
  • first author6

Across the 9 of 11 papers where every author was matched, so the position is known.

fields
  • math.ST4
  • stat.CO4
  • stat.ME3
same name
  • Xiaohui Liu — 9 papers, h 5
  • Xiaohui Liu — 7 papers, h 11
  • Xiaohui Liu — 7 papers, h 3
  • Xiaohui Liu — 6 papers, h 5
  • Xiaohui Liu — 5 papers, h 5
  • Xiaohui Liu — 5 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20112018
most citedFinite sample breakdown point of Tukey's halfspace median

16 citations · 27 across the 11 of their papers we have counts for

collaborators
Showing stat.COShow all

4 papers · 1 filter

stat.CO2014★ 5 cited

Fast computation of Tukey trimmed regions and median in dimension p>2

Xiaohui Liu, Karl Mosler, Pavlo Mozharovskyi

Given data in Rp, a Tukey κ-trimmed region is the set of all points that have at least Tukey depth κ w.r.t. the data. As they are visual, affine equivariant and r…

stat.CO2014★ 2 cited

Fast implementation of the Tukey depth

Xiaohui Liu

Tukey depth function is one of the most famous multivariate tools serving robust purposes. It is also very well known for its computability problems in dimensions p≥3. In thi…

stat.CO2014★ 1 cited

Fast and exact implementation of 3-dimensional Tukey depth regions

Xiaohui Liu

Tukey depth regions are important notions in nonparametric multivariate data analysis. A τ-th Tukey depth region Dτ​ is the set of all points that have at least depth…

stat.CO2011

Exactly computing bivariate projection depth contours and median

Xiaohui Liu, Yijun Zuo, Zhizhong Wang

Among their competitors, projection depth and its induced estimators are very favorable because they can enjoy very high breakdown point robustness without having to pay the price…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.