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20142021
most citedStatistical inference for network samples using subgraph counts

25 citations · 39 across the 7 of their papers we have counts for

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5 papers · 1 filter

stat.ME2021★ 1 cited

Quantifying Network Similarity using Graph Cumulants

Gecia Bravo-Hermsdorff, Lee M. Gunderson, Pierre-André Maugis +1

How might one test the hypothesis that networks were sampled from the same distribution? Here, we compare two statistical tests that use subgraph counts to address this question. T…

stat.ME2020★ 1 cited

Nonparametric regression for multiple heterogeneous networks

Swati Chandna, Pierre-Andre Maugis

We study nonparametric methods for the setting where multiple distinct networks are observed on the same set of nodes. Such samples may arise in the form of replicated networks dra…

stat.ME2017★ 7 cited

Topology reveals universal features for network comparison

Pierre-André G. Maugis, Sofia C. Olhede, Patrick J. Wolfe

The topology of any complex system is key to understanding its structure and function. Fundamentally, algebraic topology guarantees that any system represented by a network can be…

stat.ME2017★ 25 cited

Statistical inference for network samples using subgraph counts

P-A. G. Maugis, Carey E. Priebe, S. C. Olhede +1

We consider that a network is an observation, and a collection of observed networks forms a sample. In this setting, we provide methods to test whether all observations in a networ…

stat.ME2014★ 3 cited

Event Conditional Correlation: Or How Non-Linear Linear Dependence Can Be

P-A. G. Maugis

Entries of datasets are often collected only if an event occurred: taking a survey, enrolling in an experiment and so forth. However, such partial samples bias classical correlatio…