C2 Edited work
Robust and Multivariate Statistical Methods : Festschrift in Honor of David E. Tyler (2023)


Yi, M., & Nordhausen, K. (Eds.). (2023). Robust and Multivariate Statistical Methods : Festschrift in Honor of David E. Tyler. Springer. https://doi.org/10.1007/978-3-031-22687-8


JYU authors or editors


Publication details

All authors or editorsYi, Mengxi; Nordhausen, Klaus

ISBN978-3-031-22686-1

eISBN978-3-031-22687-8

Publication year2023

Publication date19/04/2023

Number of pages in the book495

PublisherSpringer

Place of PublicationCham

Publication countrySwitzerland

Publication languageEnglish

DOIhttps://doi.org/10.1007/978-3-031-22687-8

Publication open accessNot open

Publication channel open access


Abstract

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.


Keywordsstatistical methodsmultivariable methodsestimating (statistical methods)time-series analysis

Free keywordsmultivariate statistical methods; robust statistical methods; high-dimensional methods; Tyler's Shape Matrix; Tyler's Shape Estimator; multivariate analysis; robust estimation; asymptotics; robustness; time series analysis; supervised learning; graphical models; normal extremes


Contributing organizations


Ministry reportingYes

Reporting Year2023

JUFO rating2


Last updated on 2024-15-05 at 13:10