2 citations · 2 across the 4 of their papers we have counts for
5 papers · 1 filter
Covariate-assisted graph matching
Trisha Dawn, Jesús Arroyo
Data integration is essential across diverse domains, from historical records to biomedical research, facilitating joint statistical inference. A crucial initial step in this proce…
Simultaneous estimation of connectivity and dimensionality in samples of networks
Wenlong Jiang, Chris McKennan, Jesús Arroyo +1
An overarching objective in contemporary statistical network analysis is extracting salient information from datasets consisting of multiple networks. To date, considerable attenti…
Learning Joint and Individual Structure in Network Data with Covariates
Carson James, Dongbang Yuan, Irina Gaynanova +1
Datasets consisting of a network and covariates associated with its vertices have become ubiquitous. One problem pertaining to this type of data is to identify information unique t…
Simultaneous prediction and community detection for networks with application to neuroimaging
Jesús Arroyo, Elizaveta Levina
Community structure in networks is observed in many different domains, and unsupervised community detection has received a lot of attention in the literature. Increasingly the focu…
Inference for multiple heterogeneous networks with a common invariant subspace
Jesús Arroyo, Avanti Athreya, Joshua Cape +3
The development of models for multiple heterogeneous network data is of critical importance both in statistical network theory and across multiple application domains. Although sin…