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Lizhen Lin

33 papers hereh-index 7200 citations31 works total

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

author position
  • first author3
  • middle author10
  • last author20

Across the 33 of 33 papers where every author was matched, so the position is known.

fields
  • math.ST10
  • stat.ML9
  • stat.ME6
  • cs.LG2
  • stat.CO2
  • cs.SI1
same name
  • Lizhen Lin — 6 papers, h 3
  • Lizhen Lin — 3 papers, h 10
  • Lizhen Lin — 3 papers, h 3
  • Lizhen Lin — 3 papers, h 5
  • Lizhen Lin — 3 papers, h 4
  • Lizhen Lin — 2 papers, 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
20132026
most citedRobust and Scalable Bayes via a Median of Subset Posterior Measures

100 citations · 204 across the 32 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

stat.OT2016★ 9 cited

Scale and curvature effects in principal geodesic analysis

Drew Lazar, Lizhen Lin

There is growing interest in using the close connection between differential geometry and statistics to model smooth manifold-valued data. In particular, much work has been done re…

stat.ML2016★ 6 cited

Robust and Parallel Bayesian Model Selection

Michael Minyi Zhang, Henry Lam, Lizhen Lin

Effective and accurate model selection is an important problem in modern data analysis. One of the major challenges is the computational burden required to handle large data sets t…

math.ST2016★ 13 cited

Bayesian Sparse Linear Regression with Unknown Symmetric Error

Minwoo Chae, Lizhen Lin, David B. Dunson

We study full Bayesian procedures for sparse linear regression when errors have a symmetric but otherwise unknown distribution. The unknown error distribution is endowed with a sym…

stat.ML2016

On clustering network-valued data

Soumendu Sundar Mukherjee, Purnamrita Sarkar, Lizhen Lin

Community detection, which focuses on clustering nodes or detecting communities in (mostly) a single network, is a problem of considerable practical interest and has received a gre…

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