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scientific article; zbMATH DE number 7370527

Language	Label	Description	Also known as
English	No label defined	scientific article; zbMATH DE number 7370527

Statements

scholarly article

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publication date

9 July 2021

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full work available at URL

https://arxiv.org/abs/1811.02612

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https://jmlr.csail.mit.edu/papers/v22/18-770.html

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Mathematics Subject Classification ID

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zbMATH DE Number

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zbMATH Keywords

stochastic block model

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Markov chain Monte Carlo

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Bayesian computation

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posterior strong consistency

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algorithmic complexity

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MaRDI profile type

MaRDI publication profile

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Community Detection and Stochastic Block Models

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Exact Recovery in the Stochastic Block Model

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Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels

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A nonparametric view of network models and Newman–Girvan and other modularities

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Consistency of maximum-likelihood and variational estimators in the stochastic block model

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Graph Partitioning via Adaptive Spectral Techniques

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Geometric bounds for eigenvalues of Markov chains

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Consistent Adjacency-Spectral Partitioning for the Stochastic Block Model When the Model Parameters Are Unknown

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Probabilistic Community Detection With Unknown Number of Communities

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Community structure in social and biological networks

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A Survey of Statistical Network Models

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Counting Walks and Graph Homomorphisms via Markov Chains and Importance Sampling

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Markov Chains and Stochastic Stability

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Computable bounds for geometric convergence rates of Markov chains

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An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants

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Mathematical Aspects of Mixing Times in Markov Chains

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Mixture models and exploratory analysis in networks

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Estimation and Prediction for Stochastic Blockstructures

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Geometric ergodicity and hybrid Markov chains

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Spectral clustering and the high-dimensional stochastic blockmodel

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Improved Bounds for Mixing Rates of Markov Chains and Multicommodity Flow

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Estimation and prediction for stochastic blockmodels for graphs with latent block structure

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Designing simple and efficient Markov chain Monte Carlo proposal kernels

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Bayesian community detection

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Convergence rate of Markov chain methods for genomic motif discovery

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On the computational complexity of high-dimensional Bayesian variable selection

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Minimax rates of community detection in stochastic block models

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Sitelinks

Mathematics(1 entry)

mardi Publication:4998875

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