Funder
ARC Centre of Excellence for Mathematical & Statistical Frontiers
Shanghai Municipal Science & Technology Com- missio
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference44 articles.
1. Airoldi, E.M., Blei, D.M., Fienberg, S.E., & Xing, E.P. (2009). Mixed membership stochastic blockmodels. NIPS, 33–40.
2. Aldous, D. J. (1981). Representations for partially exchangeable arrays of random variables. Journal of Multivariate Analysis, 11(4), 581–598.
3. Amini, A. A., Chen, A., Bickel, P. J., & Levina, E. (2013). Pseudo-likelihood methods for community detection in large sparse networks. The Annals of Statistics, 41(4), 2097–2122.
4. Anandkumar, A., Ge, R., Hsu, D., & Kakade, S. (2013). A tensor spectral approach to learning mixed membership community models. COLT, 867–881.
5. Andrieu, C., Doucet, A., & Holenstein, R. (2010). Particle Markov chain monte Carlo methods. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 72(3), 269–342.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Stochastic Block Smooth Graphon Model;Journal of Computational and Graphical Statistics;2024-07-08