Testing degree corrections in stochastic block models
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Publication:2077335
DOI10.1214/20-AIHP1120zbMath1493.62040arXiv1705.07527OpenAlexW3186498137MaRDI QIDQ2077335
Rajarshi Mukherjee, Subhabrata Sen
Publication date: 25 February 2022
Published in: Annales de l'Institut Henri Poincaré. Probabilités et Statistiques (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1705.07527
Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Minimax procedures in statistical decision theory (62C20)
Cites Work
- Unnamed Item
- Innovated higher criticism for detecting sparse signals in correlated noise
- Fast community detection by SCORE
- Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism
- The sparse Poisson means model
- Estimation and prediction for stochastic blockmodels for graphs with latent block structure
- Detection thresholds for the \(\beta\)-model on sparse graphs
- Community detection in degree-corrected block models
- Nonparametric goodness-of-fit testing under Gaussian models
- Higher criticism for detecting sparse heterogeneous mixtures.
- Consistency of community detection in networks under degree-corrected stochastic block models
- Detection boundary in sparse regression
- Hypothesis testing for high-dimensional sparse binary regression
- Convexified modularity maximization for degree-corrected stochastic block models
- Community detection in dense random networks
- Emergence of Scaling in Random Networks
- Community Detection and Stochastic Block Models
- The Computer Science and Physics of Community Detection: Landscapes, Phase Transitions, and Hardness
- A spectral method for community detection in moderately sparse degree-corrected stochastic block models
- Collective dynamics of ‘small-world’ networks
- A goodness-of-fit test for stochastic block models
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