Pages that link to "Item:Q2209705"
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The following pages link to Bayesian estimation of the latent dimension and communities in stochastic blockmodels (Q2209705):
Displaying 14 items.
- Estimating the number of communities by spectral methods (Q90067) (← links)
- Empirical Bayes estimation for the stochastic blockmodel (Q262706) (← links)
- Goodness-of-fit test for latent block models (Q829718) (← links)
- Bayesian community detection (Q1631576) (← links)
- Latent structure blockmodels for Bayesian spectral graph clustering (Q2128055) (← links)
- A random effects stochastic block model for joint community detection in multiple networks with applications to neuroimaging (Q2194484) (← links)
- Dynamic stochastic block models: parameter estimation and detection of changes in community structure (Q2329743) (← links)
- (Q4998875) (← links)
- Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering (Q5066394) (← links)
- Bayesian Ridge-Regularized Covariance Selection with Community Behavior in Latent Gaussian Graphical Models (Q5266587) (← links)
- Consistent Estimation of the Number of Communities via Regularized Network Embedding (Q6079724) (← links)
- Bayesian learning of graph substructures (Q6122075) (← links)
- Community detection in complex networks: from statistical foundations to data science applications (Q6602352) (← links)
- Spectral Clustering on Spherical Coordinates Under the Degree-Corrected Stochastic Blockmodel (Q6631075) (← links)
