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Xin Gao

4 papers hereh-index 14651 citations42 works total

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

author position
  • first author3
  • middle author1

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

fields
  • stat.ME2
  • math.ST1
  • stat.CO1
same name
  • Xin Gao — 3 papers, h 22
  • Xin Gao — 1 paper
  • Xin Gao — 1 paper

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
20092013
most citedTuning parameter selection for penalized likelihood estimation of inverse covariance matrix

9 citations · 10 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ME2013★ 1 cited

Nonparametric Clustering of Mixed Data Using Modified Chi-square Tests

Yawen Xu, Xin Gao, Xiaogang Wang

We propose a non-parametric method to cluster mixed data containing both continuous and discrete random variables. The product space of continuous and categorical sample spaces is…

math.ST2012

Simultaneous Model Selection and Estimation for Mean and Association Structures with Clustered Binary Data

Xin Gao, Grace Y. Yi

This paper investigates the property of the penalized estimating equations when both the mean and association structures are modelled. To select variables for the mean and associat…

stat.CO2012

Composite likelihood estimation of sparse Gaussian graphical models with symmetry

Xin Gao, Helene Massam

In this article, we discuss the composite likelihood estimation of sparse Gaussian graphical models. When there are symmetry constraints on the concentration matrix or partial corr…

stat.ME2009★ 9 cited

Tuning parameter selection for penalized likelihood estimation of inverse covariance matrix

Xin Gao, Daniel Q. Pu, Yuehua Wu +1

In a Gaussian graphical model, the conditional independence between two variables are characterized by the corresponding zero entries in the inverse covariance matrix. Maximum like…

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