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Hao Chen

24 papers hereh-index 11758 citations29 works total

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

author position
  • sole author2
  • first author4
  • middle author1
  • last author17

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • stat.ME21
  • math.ST2
  • math.PR1
same name
  • Hao Chen — 77 papers, h 63
  • Hao Chen — 33 papers, h 24
  • Hao Chen — 25 papers, h 13
  • Hao Chen — 24 papers, h 12
  • Hao Chen — 20 papers, h 8
  • Hao Chen — 19 papers, h 16

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
20122026
most citedA new graph-based two-sample test for multivariate and object data

136 citations · 239 across the 24 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

stat.ME2020★ 13 cited

Generalized Kernel Two-Sample Tests

Hoseung Song, Hao Chen

Kernel two-sample tests have been widely used for multivariate data to test equality of distributions. However, existing tests based on mapping distributions into a reproducing ker…

stat.ME2020

A new non-parametric test for multivariate paired data from pair matching or paired designs

Jingru Zhang, Hao Chen, Xiao-Hua Zhou

In observational studies, achieving covariate balance in pair matching between treatment and control groups or exposed and unexposed groups is essential. This balance enables testi…

stat.ME2020

A Fast and Efficient Change-point Detection Framework based on Approximate k-Nearest Neighbor Graphs

Yi-Wei Liu, Hao Chen

Change-point analysis is thriving in this big data era to address problems arising in many fields where massive data sequences are collected to study complicated phenomena over tim…

stat.ME2020★ 1 cited

Asymptotic distribution-free change-point detection for data with repeated observations

Hoseung Song, Hao Chen

In the regime of change-point detection, a nonparametric framework based on scan statistics utilizing graphs representing similarities among observations is gaining attention due t…

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