Pages that link to "Item:Q2892086"
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The following pages link to Stochastic blockmodels with a growing number of classes (Q2892086):
Displaying 50 items.
- Pseudo-likelihood methods for community detection in large sparse networks (Q90059) (← links)
- Fast community detection by SCORE (Q144808) (← 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)
- A limit theorem for scaled eigenvectors of random dot product graphs (Q288255) (← links)
- Bayesian degree-corrected stochastic blockmodels for community detection (Q315413) (← links)
- Modeling individual email patterns over time with latent variable models (Q374145) (← links)
- Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels (Q385773) (← links)
- Perfect clustering for stochastic blockmodel graphs via adjacency spectral embedding (Q485940) (← links)
- Spectral clustering and the high-dimensional stochastic blockmodel (Q651016) (← links)
- Detection of structurally homogeneous subsets in graphs (Q746312) (← links)
- Social network mediation analysis: a latent space approach (Q823876) (← links)
- Large-scale estimation of random graph models with local dependence (Q830532) (← links)
- Network-based naive Bayes model for social network (Q1635847) (← links)
- Community detection by \(L_{0}\)-penalized graph Laplacian (Q1639201) (← links)
- Estimating parameters of a probabilistic heterogeneous block model via the EM algorithm (Q1657975) (← links)
- Limit theorems for eigenvectors of the normalized Laplacian for random graphs (Q1800805) (← links)
- Consistency of community detection in networks under degree-corrected stochastic block models (Q1940773) (← links)
- Consistency of maximum-likelihood and variational estimators in the stochastic block model (Q1950883) (← links)
- Fusing data depth with complex networks: community detection with prior information (Q2002721) (← links)
- A note on new Bernstein-type inequalities for the log-likelihood function of Bernoulli variables (Q2006726) (← links)
- Stochastic block models are a discrete surface tension (Q2022738) (← links)
- Consistent nonparametric estimation for heavy-tailed sparse graphs (Q2054468) (← links)
- Community detection with dependent connectivity (Q2054505) (← links)
- Weighted stochastic block model (Q2066716) (← links)
- Limit theorems for distributions invariant under groups of transformations (Q2091824) (← links)
- Bayesian testing for exogenous partition structures in stochastic block models (Q2121702) (← links)
- Smoothing graphons for modelling exchangeable relational data (Q2127231) (← links)
- Edgeworth expansions for network moments (Q2131253) (← links)
- Asymptotically efficient estimators for stochastic blockmodels: the naive MLE, the rank-constrained MLE, and the spectral estimator (Q2137006) (← links)
- An optimal uniform concentration inequality for discrete entropies on finite alphabets in the high-dimensional setting (Q2137047) (← links)
- Consistency and asymptotic normality of stochastic block models estimators from sampled data (Q2209826) (← links)
- Exponential-family models of random graphs: inference in finite, super and infinite population scenarios (Q2225321) (← links)
- Nonreconstruction of high-dimensional stochastic block model with bounded degree (Q2288830) (← links)
- Model-based clustering of time-evolving networks through temporal exponential-family random graph models (Q2293378) (← links)
- Profile likelihood biclustering (Q2293724) (← links)
- Consistent structure estimation of exponential-family random graph models with block structure (Q2295031) (← links)
- Optimal graphon estimation in cut distance (Q2312687) (← links)
- Matrix estimation by universal singular value thresholding (Q2338924) (← 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)
- Co-clustering separately exchangeable network data (Q2448722) (← links)
- An alternative class of models to position social network groups in latent spaces (Q2673834) (← links)
- Mixed membership stochastic blockmodels (Q3096181) (← links)
- The highest dimensional stochastic blockmodel with a regularized estimator (Q3195174) (← links)
- Multiresolution Network Models (Q3391195) (← links)
- Node Features Adjusted Stochastic Block Model (Q3391243) (← links)
- Likelihood Inference for Large Scale Stochastic Blockmodels With Covariates Based on a Divide-and-Conquer Parallelizable Algorithm With Communication (Q3391269) (← links)
- (Q3799512) (← links)
- Community Detection and Stochastic Block Models (Q4558502) (← links)
