High-Dimensional Statistics: A Non-Asymptotic Viewpoint
High-Dimensional Statistics: A Non-Asymptotic Viewpoint
Author: Martin J. Wainwright
Publisher: Cambridge University Press
Published: 04/11/2019
Pages: 568
Binding Type: Hardcover
Weight: 3.00lbs
Size: 10.10h x 7.30w x 1.70d
ISBN: 9781108498029
About the Author
Wainwright, Martin J.: - Martin J. Wainwright is a Chancellor's Professor at the University of California, Berkeley, with a joint appointment between the Department of Statistics and the Department of Electrical Engineering and Computer Sciences. His research lies at the nexus of statistics, machine learning, optimization, and information theory, and he has published widely in all of these disciplines. He has written two other books, one on graphical models together with Michael I. Jordan, and one on sparse learning together with Trevor Hastie and Robert Tibshirani. Among other awards, he has received the COPSS Presdients' Award, has been a Medallion Lecturer and Blackwell Lecturer for the Institute of Mathematical Statistics, and has received Best Paper Awards from the Neural Information Processing Systems (NIPS), the International Conference on Machine Learning (ICML), and the Uncertainty in Artificial Intelligence (UAI) conferences, as well as from the Institute of Electrical and Electronics Engineers (IEEE) Information Theory Society.