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S. Chatterjee

9 papers hereh-index 11532 citations50 works total

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

author position
  • first author5
  • middle author2
  • last author2

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • math.PR5
  • stat.ME2
  • cs.SI1
  • stat.AP1
same name
  • S. Chatterjee — 178 papers
  • S. Chatterjee — 91 papers, h 58
  • S. Chatterjee — 57 papers, h 53
  • S. Chatterjee — 49 papers, h 44
  • S. Chatterjee — 47 papers, h 43
  • S. Chatterjee — 36 papers, h 7

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
20182026
most citedGeneral Community Detection with Optimal Recovery Conditions for Multi-relational Sparse Networks with Dependent Layers

12 citations · 16 across the 5 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

stat.AP2020

Estimating the treatment effect of the juvenile stay-at-home order on SARS-CoV-2 infection spread in Saline County, Arkansas

Neil Hwang, Shirshendu Chatterjee, Yanming Di +1

We investigate the treatment effect of the juvenile stay-at-home order (JSAHO) adopted in Saline County, Arkansas, from April 6 to May 7, in mitigating the growth of SARS-CoV-2 inf…

stat.ME2020★ 4 cited

Consistent detection and optimal localization of all detectable change points in piecewise stationary arbitrarily sparse network-sequences

Sharmodeep Bhattacharyya, Shirshendu Chatterjee, Soumendu Sundar Mukherjee

We consider the offline change point detection and localization problem in the context of piecewise stationary networks, where the observable is a finite sequence of networks. We d…

cs.SI2020★ 12 cited

General Community Detection with Optimal Recovery Conditions for Multi-relational Sparse Networks with Dependent Layers

Sharmodeep Bhattacharyya, Shirshendu Chatterjee

Multilayer and multiplex networks are becoming common network data sets in recent times. We consider the problem of identifying the common community structure for a special type of…

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