Pages that link to "Item:Q2194484"
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The following pages link to A random effects stochastic block model for joint community detection in multiple networks with applications to neuroimaging (Q2194484):
Displaying 14 items.
- LCN: a random graph mixture model for community detection in functional brain networks (Q1748653) (← links)
- Community detection with dependent connectivity (Q2054505) (← links)
- Community detection on mixture multilayer networks via regularized tensor decomposition (Q2073701) (← links)
- A latent space model for multilayer network data (Q2076127) (← links)
- Global and individualized community detection in inhomogeneous multilayer networks (Q2105190) (← links)
- A random covariance model for bi‐level graphical modeling with application to resting‐state fMRI data (Q6055494) (← links)
- Multi‐subject stochastic blockmodels with mixed effects for adaptive analysis of individual differences in human brain network cluster structure (Q6067695) (← links)
- Testing for association in multiview network data (Q6079584) (← links)
- Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-Variate fMRI Data (Q6079710) (← links)
- Community detection for multilayer weighted networks (Q6118658) (← links)
- Bayesian learning of graph substructures (Q6122075) (← links)
- Covariate-Assisted Community Detection in Multi-Layer Networks (Q6190701) (← links)
- Semiparametric estimation for dynamic networks with shifted connecting intensities (Q6616342) (← links)
- Computational and statistical thresholds in multi-layer stochastic block models (Q6656627) (← links)
