Network Models for Data Science: Theory, Algorithms, and Applications - Rilegato

Izenman, Alan Julian

Rilegato

ISBN 10: 1108835767 ISBN 13: 9781108835763

Casa editrice: Cambridge University Press, 2022

Riassunto

This is the first book to describe modern methods for analyzing complex networks arising from a wide range of disciplines.

Su questo libro

Informazioni sull?autore

Alan J. Izenman is Professor of Statistical Science at Temple University. He received his Ph.D. from the University of California, Berkeley. He was a faculty member at Tel Aviv University and Colorado State University, and was a visiting faculty member at the University of Chicago, the University of Minnesota, and Stanford University. He was Program Director of Statistics and Probability at NSF (1992-94). A Fellow of the ASA, RSS, and ISI, he has served on the Editorial Boards of JASA, Law, Probability, and Risk, and Statistical Analysis and Data Mining. He is the author of Modern Multivariate Statistical Techniques (2013).

Dettagli dell'edizione

• Editore: Cambridge University Press
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 1108835767
• ISBN 13: 9781108835763
• Rilegatura: Copertina rigida
• Numero di pagine: 550
• Contatto del produttore: non disponibile
• Persona responsabile: Avery; https://www.avery.fr/; ; chemin des peupliers 27; Dardilly; Francia