Special issue on statistical analysis of networks
Michael Schweinberger (),
Francesco C. Stingo () and
Maria Prosperina Vitale ()
Additional contact information
Michael Schweinberger: University of Missouri
Francesco C. Stingo: University of Florence
Maria Prosperina Vitale: University of Salerno
Statistical Methods & Applications, 2021, vol. 30, issue 5, No 1, 1285-1288
Abstract:
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.
Keywords: Network data; Graphical model; Neural network; Multivariate network; Multiplex network; Multipartite network; 05C80; 62B05; 62F10; 91D30 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10260-021-00608-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:stmapp:v:30:y:2021:i:5:d:10.1007_s10260-021-00608-z
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10260/PS2
DOI: 10.1007/s10260-021-00608-z
Access Statistics for this article
Statistical Methods & Applications is currently edited by Tommaso Proietti
More articles in Statistical Methods & Applications from Springer, Società Italiana di Statistica
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().