Learning common structures in a collection of networks. An application to food webs
Author:
Affiliation:
1. Université Paris-Saclay, AgroParisTech, INRAE, UMR MIA Paris-Saclay
Publisher
Institute of Mathematical Statistics
Reference50 articles.
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4. Le, C. M., Levin, K. and Levina, E. (2018). Estimating a network from multiple noisy realizations. Electron. J. Stat. 12 4697–4740.
5. Mariadassou, M., Robin, S. and Vacher, C. (2010). Uncovering latent structure in valued graphs: A variational approach. Ann. Appl. Stat. 4 715–742.
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