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Special issue on statistical analysis of networks

Author

Listed:
  • Michael Schweinberger

    (University of Missouri)

  • Francesco C. Stingo

    (University of Florence)

  • Maria Prosperina Vitale

    (University of Salerno)

Abstract

The special issue on Statistical Analysis of Networks aspires to convey the breadth and depth of statistical learning with networks, ranging from networks that are observed to networks that are unobserved and learned from data. It includes ten select papers with methodological and theoretical advances, and demonstrates the usefulness of the network paradigm by applications to current problems.

Suggested Citation

  • Michael Schweinberger & Francesco C. Stingo & Maria Prosperina Vitale, 2021. "Special issue on statistical analysis of networks," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(5), pages 1285-1288, December.
    • Handle: RePEc:spr:stmapp:v:30:y:2021:i:5:d:10.1007_s10260-021-00608-z
    DOI: 10.1007/s10260-021-00608-z
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