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.

Special issue on statistical analysis of networks: Preface by the guest editors / Schweinberger M.; Stingo F.C.; Vitale M.P.. - In: STATISTICAL METHODS & APPLICATIONS. - ISSN 1618-2510. - STAMPA. - 30:(2021), pp. 1-4-1288. [10.1007/s10260-021-00608-z]

Special issue on statistical analysis of networks: Preface by the guest editors

Stingo F. C.
;
2021

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.
2021
30
1-4
1288
Schweinberger M.; Stingo F.C.; Vitale M.P.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1248894
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