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Legramanti S, Rigon T, Durante D, Dunson DB. Extended stochastic block models with application to criminal networks. Ann Appl Stat 2022; 16:2369-2395. [DOI: 10.1214/21-aoas1595] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- Sirio Legramanti
- Department Decision Sciences and Institute for Data Science and Analytics, Bocconi University
| | - Tommaso Rigon
- Department of Economics, Management and Statistics, University of Milano-Bicocca
| | - Daniele Durante
- Department Decision Sciences and Institute for Data Science and Analytics, Bocconi University
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Hierarchical clustering with discrete latent variable models and the integrated classification likelihood. ADV DATA ANAL CLASSI 2021. [DOI: 10.1007/s11634-021-00440-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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