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A Copula-Based Algorithm for Discovering Patterns of Dependent Observations

Author

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  • F. Lascio
  • Simone Giannerini

Abstract

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Suggested Citation

  • F. Lascio & Simone Giannerini, 2012. "A Copula-Based Algorithm for Discovering Patterns of Dependent Observations," Journal of Classification, Springer;The Classification Society, vol. 29(1), pages 50-75, April.
    • Handle: RePEc:spr:jclass:v:29:y:2012:i:1:p:50-75
    DOI: 10.1007/s00357-012-9099-y
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    Citations

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    Cited by:

    1. Alessandro Chessa & Irene Crimaldi & Massimo Riccaboni & Luca Trapin, 2014. "Cluster analysis of weighted bipartite networks: a new copula-based approach," Working Papers 3/2014, IMT School for Advanced Studies Lucca, revised Apr 2014.
    2. F. Marta L. Lascio & Simone Giannerini, 2019. "Clustering dependent observations with copula functions," Statistical Papers, Springer, vol. 60(1), pages 35-51, February.
    3. Paul D. McNicholas, 2016. "Model-Based Clustering," Journal of Classification, Springer;The Classification Society, vol. 33(3), pages 331-373, October.
    4. Alessandro Chessa & Irene Crimaldi & Massimo Riccaboni & Luca Trapin, 2014. "Cluster Analysis of Weighted Bipartite Networks: A New Copula-Based Approach," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-12, October.

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