Alan Julian Izenman (Philadelphia Temple University)

Gebundenes Buch

Network Models for Data Science

Theory, Algorithms, and Applications

Beschreibung

This book for graduate students in statistics, data science, computer science, machine learning, and mathematics explores the theory of complex networks, modern analysis methods, and computational issues. Applications range from technology and information to finance to social science to computational biology, physics, and engineering.

Autor

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).

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 550
• Erscheinungstermin: 5. Januar 2023
• Englisch
• Abmessung: 257mm x 177mm x 29mm
• Gewicht: 1154g
• ISBN-13: 9781108835763
• ISBN-10: 1108835767
• Artikelnr.: 63980479