Adjusted chi-square test for degree-corrected block models
From MaRDI portal
Publication:90068
DOI10.48550/arXiv.2012.15047arXiv2012.15047OpenAlexW4390055394MaRDI QIDQ90068
Linfan Zhang, Arash A. Amini, Arash A. Amini, Unnamed Author
Publication date: 30 December 2020
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2012.15047
goodness-of-fit testcommunity detectionnonasymptoticdegree-corrected stochastic block modeladjusted chi-square statistic
Multivariate analysis (62H99) Asymptotic properties of nonparametric inference (62G20) Approximations to statistical distributions (nonasymptotic) (62E17)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Likelihood-based model selection for stochastic block models
- Estimating the number of communities by spectral methods
- Network cross-validation by edge sampling
- Network Cross-Validation for Determining the Number of Communities in Network Data
- Minimax rates of community detection in stochastic block models
- The method of moments and degree distributions for network models
- Rigidity of eigenvalues of generalized Wigner matrices
- Stein's method and multinomial approximation
- Statistical modeling: The two cultures. (With comments and a rejoinder).
- General properties and estimation of conditional Bernoulli models
- A likelihood-ratio type test for stochastic block models with bounded degrees
- Consistency of spectral clustering in stochastic block models
- Convexified modularity maximization for degree-corrected stochastic block models
- A necessary and sufficient condition for edge universality of Wigner matrices
- Tailor-made tests for goodness of fit to semiparametric hypotheses
- Goodness of Fit of Social Network Models
- Asymptotic Statistics
- Community Detection and Stochastic Block Models
- Assessment of model fit via network comparison methods based on subgraph counts
- Optimal Bipartite Network Clustering
- Corrected Bayesian Information Criterion for Stochastic Block Models
- Probabilistic Community Detection With Unknown Number of Communities
- Achieving Optimal Misclassification Proportion in Stochastic Block Model
- Hypothesis Testing for Automated Community Detection in Networks
- Hierarchical Community Detection by Recursive Partitioning
- A goodness-of-fit test for stochastic block models
This page was built for publication: Adjusted chi-square test for degree-corrected block models