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Luo Xiao

13 papers hereh-index 14844 citations42 works total

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

author position
  • first author5
  • middle author6
  • last author2

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • stat.ME9
  • math.ST4
same name
  • Luo Xiao — 2 papers, h 2
  • Luo Xiao — 2 papers, h 8
  • Luo Xiao — 1 paper, h 2

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
20102026
most citedFast Covariance Estimation for High-dimensional Functional Data

101 citations · 230 across the 12 of their papers we have counts for

collaborators
Showing math.STShow all

4 papers · 1 filter

math.ST2014★ 2 cited

Convex Banding of the Covariance Matrix

Jacob Bien, Florentina Bunea, Luo Xiao

We introduce a new sparse estimator of the covariance matrix for high-dimensional models in which the variables have a known ordering. Our estimator, which is the solution to a con…

math.ST2014★ 8 cited

On the theoretic and practical merits of the banding estimator for large covariance matrices

Luo Xiao, Florentina Bunea

This paper considers the banding estimator proposed in Bickel and Levina (2008) for estimation of large covariance matrices. We prove that the banding estimator achieves rate-optim…

math.ST2012★ 56 cited

On the sample covariance matrix estimator of reduced effective rank population matrices, with applications to fPCA

Florentina Bunea, Luo Xiao

This work provides a unified analysis of the properties of the sample covariance matrix Σn​ over the class of p×p population covariance matrices Σ of reduced effective…

math.ST2012★ 11 cited

Local Asymptotics of P-splines

Luo Xiao, Yingxing Li, Tatiyana V. Apanasovich +1

This report studies local asymptotics of P-splines with pth degree B-splines and a mth order difference penalty. Earlier work with p and m restricted is extended to the gen…

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