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Tong Shen

4 papers hereh-index 329 citations8 works total

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

author position
  • first author1
  • middle author3

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

fields
  • stat.ME2
  • q-bio.NC1
  • stat.AP1
same name
  • Tong Shen — 6 papers
  • Tong Shen — 4 papers
  • Tong Shen — 2 papers, h 4
  • Tong Shen — 1 paper
  • Tong Shen — 1 paper
  • Tong Shen — 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

most citedChange-point detection using spectral PCA for multivariate time series

5 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ME2021

Ridge-penalized adaptive Mantel test and its application in imaging genetics

Dustin Pluta, Tong Shen, Gui Xue +3

We propose a ridge-penalized adaptive Mantel test (AdaMant) for evaluating the association of two high-dimensional sets of features. By introducing a ridge penalty, AdaMant tests t…

q-bio.NC2021

To Deconvolve, or Not to Deconvolve: Inferences of Neuronal Activities using Calcium Imaging Data

Tong Shen, Gyorgy Lur, Xiangmin Xu +1

With the increasing popularity of calcium imaging data in neuroscience research, methods for analyzing calcium trace data are critical to address various questions. The observed ca…

stat.AP2021★ 5 cited

Change-point detection using spectral PCA for multivariate time series

Shuhao Jiao, Tong Shen, Zhaoxia Yu +1

We propose a two-stage approach Spec PC-CP to identify change points in multivariate time series. In the first stage, we obtain a low-dimensional summary of the high-dimensional ti…

stat.ME2017★ 1 cited

Statistical Challenges in Modeling Big Brain Signals

Zhaoxia Yu, Dustin Pluta, Tong Shen +3

Brain signal data are inherently big: massive in amount, complex in structure, and high in dimensions. These characteristics impose great challenges for statistical inference and l…

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