Pages that link to "Item:Q2361220"

The following pages link to Improved Bayesian inference for the stochastic block model with application to large networks (Q2361220):

Displaying 30 items.

• The stochastic topic block model for the clustering of vertices in networks with textual edges (Q111344) (← links)
• Optimal Bayesian estimators for latent variable cluster models (Q122296) (← links)
• Network Cross-Validation for Determining the Number of Communities in Network Data (Q159626) (← links)
• Choosing the number of clusters in a finite mixture model using an exact integrated completed likelihood criterion (Q497086) (← links)
• Inference for a generalised stochastic block model with unknown number of blocks and non-conjugate edge models (Q830563) (← links)
• An online expectation maximization algorithm for exploring general structure in massive networks (Q1618786) (← links)
• Bayesian community detection (Q1631576) (← links)
• Stochastic block models are a discrete surface tension (Q2022738) (← links)
• Bayesian testing for exogenous partition structures in stochastic block models (Q2121702) (← links)
• Hybrid maximum likelihood inference for stochastic block models (Q2129593) (← links)
• Large-scale inference with block structure (Q2148988) (← links)
• Posterior contraction rates for stochastic block models (Q2206755) (← links)
• Characterization of topic-based online communities by combining network data and user generated content (Q2209707) (← links)
• The dynamic random subgraph model for the clustering of evolving networks (Q2358931) (← links)
• Variational Bayesian inference for the latent position cluster model for network data (Q2359518) (← links)
• Improved Bayesian inference for the stochastic block model with application to large networks (Q2361220) (← links)
• Bayesian variable selection for latent class analysis using a collapsed Gibbs sampler (Q2631382) (← links)
• Fast learning algorithm for stochastic block model (Q2984839) (← links)
• A semiparametric extension of the stochastic block model for longitudinal networks (Q4561018) (← links)
• Model selection and clustering in stochastic block models based on the exact integrated complete data likelihood (Q4971437) (← links)
• Network Structure Change Point Detection by Posterior Predictive Discrepancy (Q5117924) (← links)
• Chain-referral sampling on stochastic block models (Q5140339) (← links)
• Probabilistic Community Detection With Unknown Number of Communities (Q5231515) (← links)
• (Q5376720) (← links)
• Mixture models and networks: The stochastic blockmodel (Q6078169) (← links)
• Universal rank inference via residual subsampling with application to large networks (Q6136584) (← links)
• Asymptotic uncertainty quantification for communities in sparse planted bi-section models (Q6172088) (← links)
• Consistent estimation of the number of communities in stochastic block models using cross-validation (Q6543836) (← links)
• Recent advances on mechanisms of network generation: community, exchangeability, and scale-free properties (Q6604376) (← links)
• Spectral Clustering, Bayesian Spanning Forest, and Forest Process (Q6631712) (← links)