3 citations · 4 across the 6 of their papers we have counts for
4 papers · 1 filter
Inferring the Type of Phase Transitions Undergone in Epileptic Seizures Using Random Graph Hidden Markov Models for Percolation in Noisy Dynamic Networks
Xiaojing Zhu, Heather Shappell, Mark A. Kramer +2
In clinical neuroscience, epileptic seizures have been associated with the sudden emergence of coupled activity across the brain. The resulting functional networks - in which edges…
Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome
Nathaniel Josephs, Lizhen Lin, Steven Rosenberg +1
While the study of a single network is well-established, technological advances now allow for the collection of multiple networks with relative ease. Increasingly, anywhere from se…
A Bayesian Covariance Graphical And Latent Position Model For Multivariate Financial Time Series
Daniel Ahelegbey, Luis Carvalho, Eric Kolaczyk
Current understanding holds that financial contagion is driven mainly by the system-wide interconnectedness of institutions. A distinction has been made between systematic and idio…
Estimation of Vertex Degrees in a Sampled Network
Apratim Ganguly, Eric Kolaczyk
The need to produce accurate estimates of vertex degree in a large network, based on observation of a subnetwork, arises in a number of practical settings. We study a formalized ve…