TY - JOUR
T1 - Special issue on statistical analysis of networks
T2 - Preface by the guest editors
AU - Schweinberger, Michael
AU - Stingo, Francesco C.
AU - Vitale, Maria Prosperina
N1 - Publisher Copyright:
© 2021, Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2021/12
Y1 - 2021/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85118684314&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85118684314&partnerID=8YFLogxK
U2 - 10.1007/s10260-021-00608-z
DO - 10.1007/s10260-021-00608-z
M3 - Editorial
C2 - 34776825
AN - SCOPUS:85118684314
SN - 1618-2510
VL - 30
SP - 1285
EP - 1288
JO - Statistical Methods and Applications
JF - Statistical Methods and Applications
IS - 5
ER -