185 citations · 254 across the 16 of their papers we have counts for
18 papers
Interface between competing random walks on a cycle
Shirshendu Chatterjee, Nadya Nabahi, Grigory Terlov
We consider a competition between two independent random walks on a cycle of length . Each vertex is claimed by the walker that visits it first, and remains claimed thereafter.…
The effects of individual versus community-influenced isolation on SIS epidemic persistence on finite random graphs
Shirshendu Chatterjee, David Sivakoff, Matthew Wascher
The contact process, or the SIS epidemic model, is a continuous-time Markov process used to model the spread of a recurring infection on a graph. Each vertex is either healthy or i…
Concentration inequalities for correlated network-valued processes with applications to community estimation and changepoint analysis
Sayak Chatterjee, Shirshendu Chatterjee, Soumendu Sundar Mukherjee +2
Network-valued time series are currently a common form of network data. However, the study of the aggregate behavior of network sequences generated from network-valued stochastic p…
Subcritical Connectivity and Some Exact Tail Exponents in High Dimensional Percolation
Shirshendu Chatterjee, Jack Hanson, Philippe Sosoe
In high dimensional percolation at parameter , the one-arm probability is known to decay exponentially on scale . We show the same statement for…
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…
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…