Network structure exploration via Bayesian nonparametric models
DOI10.1088/1742-5468/2015/10/P10004zbMath1456.68144arXiv1403.0466OpenAlexW3099950075MaRDI QIDQ3302111
Junzhao Bu, Yi Chen, Xin Xiang, Buzhou Tang, Xiao-Long Wang
Publication date: 11 August 2020
Published in: Journal of Statistical Mechanics: Theory and Experiment (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1403.0466
Nonparametric estimation (62G05) Bayesian inference (62F15) Small world graphs, complex networks (graph-theoretic aspects) (05C82) Learning and adaptive systems in artificial intelligence (68T05) Graph theory (including graph drawing) in computer science (68R10)
Related Items
Cites Work
- Unnamed Item
- A tutorial on Bayesian nonparametric models
- Combinatorics, Paul Erdős is eighty. Vol. 2
- An introduction to MCMC for machine learning
- Slice sampling. (With discussions and rejoinder)
- Combinatorial stochastic processes. Ecole d'Eté de Probabilités de Saint-Flour XXXII -- 2002.
- Mixture models and exploratory analysis in networks
- Fast unfolding of communities in large networks
- Bayesian Community Detection
- A Reordering for the PageRank Problem
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