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Hua Zhou

4 papers here

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

author position
  • first author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • stat.AP2
  • stat.ME1
  • stat.ML1
ORCID 0000-0003-1320-7118
same name
  • Hua Zhou — 8 papers, h 53
  • Hua Zhou — 5 papers, h 23
  • Hua Zhou — 5 papers
  • Hua Zhou — 5 papers, h 12
  • Hua Zhou — 3 papers
  • Hua Zhou — 3 papers

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

most citedTensor Generalized Estimating Equations for Longitudinal Imaging Analysis

9 citations · 19 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ML2016★ 8 cited

Algorithms for Fitting the Constrained Lasso

Brian R. Gaines, Hua Zhou

We compare alternative computing strategies for solving the constrained lasso problem. As its name suggests, the constrained lasso extends the widely-used lasso to handle linear co…

stat.ME2014★ 9 cited

Tensor Generalized Estimating Equations for Longitudinal Imaging Analysis

Xiang Zhang, Lexin Li, Hua Zhou +2

In an increasing number of neuroimaging studies, brain images, which are in the form of multidimensional arrays (tensors), have been collected on multiple subjects at multiple time…

stat.AP2014

Fast Genome-Wide QTL Analysis Using Mendel

Hua Zhou, Jin Zhou, Tao Hu +2

Pedigree GWAS (Option 29) in the current version of the Mendel software is an optimized subroutine for performing large scale genome-wide QTL analysis. This analysis (a) works for…

stat.AP2014★ 2 cited

Fast Genome-Wide QTL Association Mapping on Pedigree and Population Data

Hua Zhou, John Blangero, Thomas D. Dyer +3

Since most analysis software for genome-wide association studies (GWAS) currently exploit only unrelated individuals, there is a need for efficient applications that can handle gen…

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