Selective inference for latent block models

DOI10.1214/21-EJS1853zbMath1471.62265arXiv2005.13273OpenAlexW3167177323MaRDI QIDQ2044409

Taiji Suzuki, Chihiro Watanabe

Publication date: 9 August 2021

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2005.13273

zbMATH Keywords

relational data analysislatent block modelselective inferenc

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Parametric hypothesis testing (62F03)

Related Items (1)

Selective inference for clustering with unknown variance

Uses Software

• Bsig
• MovieLens

Cites Work

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• Goodness-of-fit test for latent block models
• Block clustering with Bernoulli mixture models: comparison of different approaches
• Uniform asymptotic inference and the bootstrap after model selection
• Bsig: evaluating the statistical significance of biclustering solutions
• Selective inference with a randomized response
• Biclustering via Sparse Singular Value Decomposition
• Cooling Schedules for Optimal Annealing
• Mathematical Statistics
• Convex biclustering
• Hypothesis Testing for Automated Community Detection in Networks
• A goodness-of-fit test for stochastic block models

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