Pages that link to "Item:Q1950883"

The following pages link to Consistency of maximum-likelihood and variational estimators in the stochastic block model (Q1950883):

Displaying 50 items.

• Pseudo-likelihood methods for community detection in large sparse networks (Q90059) (← links)
• Likelihood-based model selection for stochastic block models (Q90065) (← links)
• Variational Inference for Stochastic Block Models From Sampled Data (Q99254) (← links)
• Joint Latent Space Model for Social Networks with Multivariate Attributes (Q129793) (← links)
• A dynamic stochastic blockmodel for interaction lengths (Q143078) (← links)
• On the question of effective sample size in network modeling: an asymptotic inquiry (Q254438) (← links)
• Empirical Bayes estimation for the stochastic blockmodel (Q262706) (← links)
• Bayesian degree-corrected stochastic blockmodels for community detection (Q315413) (← links)
• Variational Bayes model averaging for graphon functions and motif frequencies inference in \(W\)-graph models (Q341136) (← links)
• Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels (Q385773) (← links)
• Community detection in sparse networks via Grothendieck's inequality (Q737326) (← links)
• Detection of structurally homogeneous subsets in graphs (Q746312) (← links)
• A stochastic block model approach for the analysis of multilevel networks: an application to the sociology of organizations (Q830072) (← links)
• Large-scale estimation of random graph models with local dependence (Q830532) (← links)
• On the use of bootstrap with variational inference: theory, interpretation, and a two-sample test example (Q1624811) (← links)
• On semidefinite relaxations for the block model (Q1747735) (← links)
• Classification and estimation in the stochastic blockmodel based on the empirical degrees (Q1950919) (← links)
• Consistency of the maximum likelihood and variational estimators in a dynamic stochastic block model (Q2008607) (← links)
• Additive and multiplicative effects network models (Q2038284) (← links)
• Community detection with dependent connectivity (Q2054505) (← links)
• Weighted stochastic block model (Q2066716) (← links)
• Estimation of dense stochastic block models visited by random walks (Q2074313) (← links)
• Mixture of hidden Markov models for accelerometer data (Q2078758) (← links)
• Smoothing graphons for modelling exchangeable relational data (Q2127231) (← links)
• Hybrid maximum likelihood inference for stochastic block models (Q2129593) (← links)
• Sparse and smooth: improved guarantees for spectral clustering in the dynamic stochastic block model (Q2136643) (← links)
• Asymptotically efficient estimators for stochastic blockmodels: the naive MLE, the rank-constrained MLE, and the spectral estimator (Q2137006) (← links)
• Powerful multiple testing of paired null hypotheses using a latent graph model (Q2137816) (← links)
• Uniform estimation in stochastic block models is slow (Q2137819) (← links)
• Consistency and asymptotic normality of latent block model estimators (Q2180060) (← links)
• A random effects stochastic block model for joint community detection in multiple networks with applications to neuroimaging (Q2194484) (← links)
• Bayesian estimation of the latent dimension and communities in stochastic blockmodels (Q2209705) (← links)
• Consistency and asymptotic normality of stochastic block models estimators from sampled data (Q2209826) (← links)
• Theoretical and computational guarantees of mean field variational inference for community detection (Q2215750) (← links)
• Maximum likelihood estimation of sparse networks with missing observations (Q2242863) (← links)
• Review on statistical methods for gene network reconstruction using expression data (Q2260287) (← links)
• Profile likelihood biclustering (Q2293724) (← links)
• Consistent structure estimation of exponential-family random graph models with block structure (Q2295031) (← links)
• Consistency of spectral clustering in stochastic block models (Q2338925) (← links)
• Convergence of the groups posterior distribution in latent or stochastic block models (Q2345132) (← links)
• Robust and computationally feasible community detection in the presence of arbitrary outlier nodes (Q2352734) (← links)
• Model-based clustering of large networks (Q2443165) (← links)
• The random subgraph model for the analysis of an ecclesiastical network in Merovingian Gaul (Q2453681) (← links)
• Node Features Adjusted Stochastic Block Model (Q3391243) (← links)
• Optimal Bipartite Network Clustering (Q4969080) (← links)
• (Q4998875) (← links)
• Variational Inference for Latent Space Models for Dynamic Networks (Q5041350) (← links)
• (Q5053173) (← links)
• (Q5054584) (← links)
• Gibbs sampler and coordinate ascent variational inference: A set-theoretical review (Q5079881) (← links)