Fallacy of data-selective inference in modelling networks
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Publication:6543962
DOI10.1002/sta4.491MaRDI QIDQ6543962
Publication date: 27 May 2024
Published in: Stat (Search for Journal in Brave)
Cites Work
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- Pseudo-likelihood methods for community detection in large sparse networks
- Likelihood-based model selection for stochastic block models
- Fast community detection by SCORE
- 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
- Coauthorship and citation networks for statisticians
- Random graphs with a given degree sequence
- Statistical analysis of network data. Methods and models
- Additive and multiplicative effects network models
- Robust and computationally feasible community detection in the presence of arbitrary outlier nodes
- Convexified modularity maximization for degree-corrected stochastic block models
- A nonparametric view of network models and Newman–Girvan and other modularities
- Community structure in social and biological networks
- Community Detection and Stochastic Block Models
- Networks
- Sparse Graphs Using Exchangeable Random Measures
- A Block Model for Node Popularity in Networks with Community Structure
- Analysis of Networks via the Sparseβ-model
- Corrected Bayesian Information Criterion for Stochastic Block Models
- Statistical Inference in a Directed Network Model With Covariates
- Topics at the Frontier of Statistics and Network Analysis
- Hypothesis Testing for Automated Community Detection in Networks
- A goodness-of-fit test for stochastic block models
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