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Xiaoping Shi

4 papers hereh-index 10297 citations34 works total

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

author position
  • sole author1
  • first author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME3
  • math.ST1
same name
  • Xiaoping Shi — 5 papers, h 2
  • Xiaoping Shi — 4 papers, h 2
  • Xiaoping Shi — 1 paper, h 7
  • Xiaoping Shi — 1 paper, h 1

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
20112023
most citedA Novel Approach for Fast Detection of Multiple Change Points in Linear Models

2 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

math.ST2023★ 2 cited

Multivariate two-sample test statistics based on data depth

Yiting Chen, Wei Lin, Xiaoping Shi

Data depth has been applied as a nonparametric measurement for ranking multivariate samples. In this paper, we focus on homogeneity tests to assess whether two multivariate samples…

stat.ME2021

Two edge-count tests and relevance analysis in k high-dimensional samples

Xiaoping Shi

For the task of relevance analysis, the conventional Tukey's test may be applied to the set of all pairwise comparisons. However, there were few studies that discuss both nonparame…

stat.ME2021★ 1 cited

Exploring the space-time pattern of log-transformed infectious count of COVID-19: a clustering-segmented autoregressive sigmoid model

Xiaoping Shi, Meiqian Chen, Yucheng Dong

At the end of April 20, 2020, there were only a few new COVID-19 cases remaining in China, whereas the rest of the world had shown increases in the number of new cases. It is of ex…

stat.ME2011★ 2 cited

A Novel Approach for Fast Detection of Multiple Change Points in Linear Models

Xiaoping Shi, Yuehua Wu, Baisuo Jin

A change point problem occurs in many statistical applications. If there exist change points in a model, it is harmful to make a statistical analysis without any consideration of t…

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