4 papers · 1 filter
Detecting and Localizing Anomalous Cliques in Inhomogeneous Networks using Egonets
Subhankar Bhadra, Srijan Sengupta
Cliques, or fully connected subgraphs, are among the most important and well-studied graph motifs in network science. We consider the problem of finding a statisti- cally anomalous…
A Bootstrap-based Method for Testing Network Similarity
Somnath Bhadra, Kaustav Chakraborty, Srijan Sengupta +1
This paper studies the matched network inference problem, where the goal is to determine if two networks, defined on a common set of nodes, exhibit a specific form of stochastic si…
Testing for the Network Small-World Property
Kartik Lovekar, Srijan Sengupta, Subhadeep Paul
Researchers have long observed that the ``small-world" property, which combines the concepts of high transitivity or clustering with a low average path length, is ubiquitous for ne…
Scalable Resampling in Massive Generalized Linear Models via Subsampled Residual Bootstrap
Indrila Ganguly, Srijan Sengupta, Sujit Ghosh
Residual bootstrap is a classical method for statistical inference in regression settings. With massive data sets becoming increasingly common, there is a demand for computationall…