Pages that link to "Item:Q1367013"

The following pages link to Estimation and prediction for stochastic blockmodels for graphs with latent block structure (Q1367013):

Displaying 50 items.

• Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel (Q2078310) (← links)
• A statistical perspective on the challenges in molecular microbial biology (Q2084409) (← links)
• Hybrid maximum likelihood inference for stochastic block models (Q2129593) (← links)
• Asymptotically efficient estimators for stochastic blockmodels: the naive MLE, the rank-constrained MLE, and the spectral estimator (Q2137006) (← links)
• A simple and efficient algorithm for modeling modular complex networks (Q2147643) (← links)
• On equivalence of likelihood maximization of stochastic block model and constrained nonnegative matrix factorization (Q2149274) (← links)
• Joint latent space models for ranking data and social network (Q2152558) (← links)
• Consistency and asymptotic normality of latent block model estimators (Q2180060) (← links)
• Posterior contraction rates for stochastic block models (Q2206755) (← links)
• Bayesian estimation of the latent dimension and communities in stochastic blockmodels (Q2209705) (← links)
• Characterization of topic-based online communities by combining network data and user generated content (Q2209707) (← links)
• Consistency and asymptotic normality of stochastic block models estimators from sampled data (Q2209826) (← links)
• The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models (Q2218353) (← links)
• Review on statistical methods for gene network reconstruction using expression data (Q2260287) (← links)
• The geometry of continuous latent space models for network data (Q2292395) (← links)
• Model-based clustering of time-evolving networks through temporal exponential-family random graph models (Q2293378) (← links)
• Modeling community structure and topics in dynamic text networks (Q2304077) (← links)
• Vertex nomination: the canonical sampling and the extended spectral nomination schemes (Q2305315) (← links)
• Dynamic stochastic block models: parameter estimation and detection of changes in community structure (Q2329743) (← links)
• The dynamic stochastic topic block model for dynamic networks with textual edges (Q2329791) (← links)
• Matrix estimation by universal singular value thresholding (Q2338924) (← links)
• Convergence of the groups posterior distribution in latent or stochastic block models (Q2345132) (← links)
• Distributed community detection in dynamic graphs (Q2345454) (← links)
• Robust and computationally feasible community detection in the presence of arbitrary outlier nodes (Q2352734) (← links)
• Improved Bayesian inference for the stochastic block model with application to large networks (Q2361220) (← links)
• Multi-way blockmodels for analyzing coordinated high-dimensional responses (Q2441872) (← 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)
• An alternative class of models to position social network groups in latent spaces (Q2673834) (← links)
• Core-periphery structure in networks: a statistical exposition (Q2693378) (← links)
• Bayesian Hierarchical Kernelized Probabilistic Matrix Factorization (Q2821017) (← links)
• An Exact Algorithm for Blockmodeling of Two-Mode Network Data (Q2857671) (← links)
• Stochastic blockmodels with a growing number of classes (Q2892086) (← links)
• A nonparametric view of network models and Newman–Girvan and other modularities (Q2962142) (← links)
• Theoretical Analysis of Active Contours on Graphs (Q3130754) (← links)
• Local multiresolution order in community detection (Q3302074) (← links)
• Model-based clustering for populations of networks (Q3386450) (← links)
• Estimating latent feature-feature interactions in large feature-rich graphs (Q3389688) (← links)
• Goodness of Fit of Logistic Regression Models for Random Graphs (Q3391135) (← 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)
• Community Detection and Stochastic Block Models (Q4558502) (← links)
• Statistical inference on random dot product graphs: a survey (Q4558565) (← links)
• Edge Exchangeable Models for Interaction Networks (Q4559710) (← links)
• A semiparametric extension of the stochastic block model for longitudinal networks (Q4561018) (← links)
• Asymptotic mutual information for the balanced binary stochastic block model (Q4603702) (← links)
• Community extraction in multilayer networks with heterogeneous community structure (Q4637082) (← links)
• A Consistent Adjacency Spectral Embedding for Stochastic Blockmodel Graphs (Q4648556) (← links)
• A BAYESIAN APPROACH TO MODELING STOCHASTIC BLOCKSTRUCTURES WITH COVARIATES (Q4681844) (← links)
• Inhomogeneous random graphs, isolated vertices, and Poisson approximation (Q4684930) (← links)