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

Izenman, Alan Julian

 
9781108835763: Network Models for Data Science: Theory, Algorithms, and Applications

Synopsis

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

"synopsis" may belong to another edition of this title.

About the Author

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).

"About this title" may belong to another edition of this title.