Robust and Multivariate Statistical Methods
Author | : Mengxi Yi |
Publisher | : Springer Nature |
Total Pages | : 500 |
Release | : 2023-04-19 |
ISBN-10 | : 9783031226878 |
ISBN-13 | : 3031226879 |
Rating | : 4/5 (879 Downloads) |
Download or read book Robust and Multivariate Statistical Methods written by Mengxi Yi and published by Springer Nature. This book was released on 2023-04-19 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent developments in multivariate and robust statistical methods. Featuring contributions by leading experts in the field it covers various topics, including multivariate and high-dimensional methods, time series, graphical models, robust estimation, supervised learning and normal extremes. It will appeal to statistics and data science researchers, PhD students and practitioners who are interested in modern multivariate and robust statistics. The book is dedicated to David E. Tyler on the occasion of his pending retirement and also includes a review contribution on the popular Tyler’s shape matrix.