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AMS Weekly Seminar w/ Jesus Arroyo on Zoom
Title: Inference for multiple heterogeneous networks with a common invariant subspace
Abstract: The development of models for multiple heterogeneous network data is of critical importance both in statistical network theory and across multiple application domains. Although single-graph inference is well-studied, multiple graph inference is largely unexplored, in part because of the challenges inherent in appropriately modeling graph differences and yet retaining sufficient model simplicity to render estimation feasible. The common subspace independent-edge (COSIE) multiple random graph model addresses this gap, by describing a heterogeneous collection of networks with a shared latent structure on the vertices but potentially different connectivity patterns for each graph. The COSIE model is both flexible to account for important graph differences and tractable to allow for accurate spectral inference. In both simulated and real data, the model can be deployed for a number of subsequent network inference tasks, including dimensionality reduction, classification, hypothesis testing, and community detection.
**Topic: AMS Weekly Seminar**
Topic: AMS Weekly Seminar- 4/23
Time: Apr 23, 2020 01:30 PM Eastern Time (US and Canada)
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Meeting ID: 931 4102 6679
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Meeting ID: 931 4102 6679
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Meeting ID: 931 4102 6679