10 citations · 10 across the 4 of their papers we have counts for
5 papers
Poisson Autoregression on a Large Network with a Stochastic Block Model Structure
Mahmoud Khabou, Joanna Marks, Joshua Corneck +1
We consider multivariate Poisson autoregressive processes evolving on random networks generated by a Stochastic Block Model. This framework extends existing network Poisson autoreg…
CHASM: Online Changepoint Detection in Temporal and Cross-Variable Dependence
Victor K. Khamesi, Edward A. K. Cohen, Niall M. Adams +1
Changepoint detection identifies times when the generative process of a time series changes, with applications in healthcare, cybersecurity, and finance. In multivariate settings,…
Spectral embedding of inhomogeneous Poisson processes on multiplex networks
Joshua Corneck, Edward A. K. Cohen, Francesco Sanna Passino
In many real-world networks, data on the edges evolve in continuous time, naturally motivating representations based on point processes. Heterogeneity in edge types further gives r…
Simultaneous global and local clustering in multiplex networks with covariate information
Joshua Corneck, Edward A. K. Cohen, James S. Martin +3
Understanding both global and layer-specific group structures is useful for uncovering complex patterns in networks with multiple interaction types. In this work, we introduce a ne…
Online Bayesian changepoint detection for network Poisson processes with community structure
Joshua Corneck, Edward A. K. Cohen, James S. Martin +1
Network point processes often exhibit latent structure that govern the behaviour of the sub-processes. It is not always reasonable to assume that this latent structure is static, a…